Tootfinder

QUELLE SURPRISE
Really hope your brunch is worth it making millions of people disabled
https://www.theguardian.com/world/2024/mar/15/long-covid-symptoms-cdc

The EU opens a formal DSA investigation into Alibaba's AliExpress over illegal content concerns, product recommendations, and more, the third DSA investigation (Arjun Kharpal/CNBC)
https://www.cnbc.com/2024/03/14/eu-opens-i

Microsoft starts testing ads in the Windows 11 Start menu - The Verge
https://www.theverge.com/2024/4/12/24128640/microsoft-windows-11-start-menu-ads-app-recommendations

Microsoft starts testing ads in the Windows 11 Start menu
The first ads in the Windows 11 Start menu will be very similar to the app recommendations Microsoft used in Windows 10.

Automatic Recommendations for Evolving Relational Databases Schema
Anne Etien, Nicolas Anquetil
https://arxiv.org/abs/2404.08525 https://

Automatic Recommendations for Evolving Relational Databases Schema
Relational databases play a central role in many information systems. Their schema contains structural (e.g. tables and columns) and behavioral (e.g. stored procedures or views) entity descriptions. Then, just like for ``normal'' software, changes in legislation, offered functionalities, or functional contexts, impose to evolve databases and their schemas. But in some scenarios, it is not so easy to deconstruct a wished evolution of the schema into a precise sequence of operations. Changing a d…

“Some 6.8% of American adults are currently experiencing long Covid symptoms, according to a new survey from the US Centers for Disease Control and Prevention (CDC)…
“More than three-quarters of the people with long Covid right now say the illness limits their day-to-day activity, and about one in five say it significantly affects their activities – an estimated 3.8 million Americans who are now experiencing debilitating illness after Covid infection.”

#Nottingham folks, where would you go to get a watch battery replaced? I gather John Lewis doesn't do it any more unless you originally bought the watch from them. Looking for recommendations of someone who'll do a good careful job, inc ensuring that the water-resistant seal is how it ought to be.
#jewellers #watches

I need a #VPN for my remote company. Multiple people, one IP, because we are all remote. Preferably a service.
split tunnel
Any recommendations? How is tailscale?

Any recommendations for an Android client for this network which will expand post links in posts? (In other words, do quoted posts.) Surely someone's implemented it by now. I'm currently using Tusky which is a very solid app all round but doesn't do that.

A European penetration tester seeks recommendations for learning materials on Operational Technology (OT) and OT security due to upcoming regulations. Open-source materials preferred. https://reddit.com/r/cybersecurity/comments/1csfsvx/

Microsoft starts testing ads inside the Start menu on Windows 11 in the Insider builds in the US, and says the app promotions can be disabled in Settings (Tom Warren/The Verge)
https://www.theverge.com/2024/4/12/24128640/microsof…

Microsoft starts testing ads in the Windows 11 Start menu
The first ads in the Windows 11 Start menu will be very similar to the app recommendations Microsoft used in Windows 10.

Microsoft starts testing ads inside the Start menu on Windows 11 in the Insider builds in the US, and says the app promotions can be disabled in Settings (Tom Warren/The Verge)
https://www.theverge.com/2024/4/12/24128640/microsof…

Microsoft starts testing ads in the Windows 11 Start menu
The first ads in the Windows 11 Start menu will be very similar to the app recommendations Microsoft used in Windows 10.

Melburnians I require your assistance. Need recommendations for a fancy restaurant (with excellent food and wines) for a dinner.

Gary Younge on Labour racism
"when Labour lambasts Sunak for his unprincipled & unconvincing response to Hester’s comments, it does not do so in defence of Abbott: those now in charge of the party hv been complicit in insulting her for years. Nor is it motivated by combating the levels of anti-Black racism in politics: almost a year after his report came out, Forde lamented that no one from the party had even contacted him to discuss his recommendations."
#LabourParty

How to Surprisingly Consider Recommendations? A Knowledge-Graph-based Approach Relying on Complex Network Metrics
Oliver Baumann, Durgesh Nandini, Anderson Rossanez, Mirco Schoenfeld, Julio Cesar dos Reis
https://arxiv.org/abs/2405.08465

This feels more like a late (and unfunny) April Fools gag than a serious idea.
via @… https://daringfireball.net/linked/2024/04/12/msft…

Microsoft Is Testing Ads in the Windows 11 Start Menu
Link to: https://www.theverge.com/2024/4/12/24128640/microsoft-windows-11-start-menu-ads-app-recommendations

I need an outside compost thingy for food scraps and dog poop and I live in the desert (up to 115F in summer). Looking for recommendations. Not too big and must be able to contain smell.
Please only reply if you have direct composting experience, thank you.

User about to graduate with a cybersecurity degree is considering joining the military. Asks for recommendations on which branch to join and what to consider before enlisting. Seeks advice from those with military cyber experience. https://reddit.com/r/cybersecurity/comments/1c4dnt6/

The Associated Press plans to launch AP Buyline, an e-commerce site powered by Taboola, on March 18, part of a broader effort to attract more consumer revenue (Sara Fischer/Axios)
https://www.axios.com/2024/03/12/ap-ecommerce-taboola

Exclusive: AP launches e-commerce site with Taboola
The new site will launch with with personal finance recommendations at first.

Belief and Persuasion in Scientific Discourse on Social Media: A Study of the COVID-19 Pandemic
Salwa Alamir, Armineh Nourbakhsh, Cecilia Tilli, Sameena Shah, Manuela Veloso
https://arxiv.org/abs/2403.09260

Belief and Persuasion in Scientific Discourse on Social Media: A Study of the COVID-19 Pandemic
Research into COVID-19 has been rapidly evolving since the onset of the pandemic. This occasionally results in contradictory recommendations by credible sources of scientific opinion, public health authorities, and medical professionals. In this study, we examine whether this has resulted in a lack of trust in scientific opinion, by examining the belief patterns of social media users and their reactions to statements related to scientific facts. We devise models to mine belief and persuasion in…

UK government fails to grasp scale of UK's e-waste 'tsunami'
MPs accept recommendations but fail to act
https://www.computing.co.uk/news/4184476/government-fails-grasp-scale-uks-waste-tsunami

Government fails to grasp scale of UK's e-waste 'tsunami'
A government committee responsible for auditing other departments' sustainability policies has said the government does not understand the scale of the e-waste problem facing the UK.

FPV and Copter Drones: Present, Future, Tactics, and Recommendations: https://benborges.xyz/2024/03/07/fpv-and-copter.html

Just now catching up on #LastWeekInAWS because it's...been a week...but https://aws.amazon.com/about-aws/whats-new/2024/03/aw…

AWS Compute Optimizer introduces memory customizability for EC2 rightsizing recommendations

Do any UK-based folks have recommendations for where to get scientific posters printed on fabric/canvas? @…

Anybody have recommendations for someone, or is someone, I can commission to create a logo for my security/embedded consulting LLC?
@…, do you happen to know anyone?

I need an outside compost thingy for food scraps and dog poop and I live in the desert (up to 115F in summer). Looking for recommendations. Not too big and must be able to contain smell.
Please only reply if you have direct composting experience, thank you.

This https://arxiv.org/abs/2403.04460 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset
Conversational recommender system is an emerging area that has garnered an increasing interest in the community, especially with the advancements in large language models (LLMs) that enable diverse reasoning over conversational input. Despite the progress, the field has many aspects left to explore. The currently available public datasets for conversational recommendation lack specific user preferences and explanations for recommendations, hindering high-quality recommendations. To address such…

From CCPA
Leaked data reveals new threat to BC’s old growth forests
Yesterday, CCPA–BC resource policy analyst Ben Parfitt released a bombshell report that revealed BC Ministry of Forests staff are proposing to reject numerous recommendations from a government-appointed expert panel that were set to protect whatever little old growth forest is left in BC.

Leaked data reveals new threat to BC’s old growth forests
BREAKING: officials in the Ministry of Forests have been working on a map that radically departs from the recommendations of a panel appointed by the provincial government to advise it on how to protect British Columbia’s imperiled old growth forests.

Florida’s recommendations give room for measles to spread
A slippery road we cannot go down
#Measles #Florida #Vote4Healthcare

Florida’s recommendations give room for measles to spread
A slippery road we cannot go down

User shares how their eagerness to learn helped land a job in cybersecurity, where they will support sysmon and MDE. They are seeking recommendations for sites like Cybrary.it or Pluralsight for further training. https://reddit.com/r/cybersecurity/comments/1bfi0p9/

#ukpol #sexEd
What, what? I'm hearing the new suggested government recommendations on sex-education are to not talk to kids about how porn isn't real life until they're /thirteen/?
Here's hoping the parents step in and tell their kids that porn isn't real way before the schools get around to it then.
You definitely gotta tell 'em that before you give 'em internet.
#ukpol #sexEd

douban: Douban friendship network (2009)
A friendship network among users on Douban.com, a Chinese website providing recommendations for books, music, and movies.
This network has 154908 nodes and 327162 edges.
Tags: Social, Online, Unweighted
https://networks.skewed.de/net/douban<…

Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Diversification-Enhancing Contrastive Learning
Youngbin Lee, Yejin Kim, Yongjae Lee
https://arxiv.org/abs/2404.07223

Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Diversification-Enhancing Contrastive Learning
In complex financial markets, recommender systems can play a crucial role in empowering individuals to make informed decisions. Existing studies predominantly focus on price prediction, but even the most sophisticated models cannot accurately predict stock prices. Also, many studies show that most individual investors do not follow established investment theories because they have their own preferences. Hence, the tricky point in stock recommendation is that recommendations should give good inv…

Hey there, fedi #cooks: I recently came into possession of some 1980s Corningware. What are your recommendations for how to best use it?

Microsoft, really.... 😆
https://www.theverge.com/2024/4/24/24138949/microsoft-windows-11-start-menu-ads-recommendations-setting-disable

Windows 11 Start menu ads are now rolling out to everyone
Microsoft is starting to rollout a Windows 11 update that enables ads in the Start menu. Thankfully, you can disable these app recommendations easily from settings.

Adaptive Fair Representation Learning for Personalized Fairness in Recommendations via Information Alignment
XInyu Zhu, Lilin Zhang, Ning Yang
https://arxiv.org/abs/2404.07494

Adaptive Fair Representation Learning for Personalized Fairness in Recommendations via Information Alignment
Personalized fairness in recommendations has been attracting increasing attention from researchers. The existing works often treat a fairness requirement, represented as a collection of sensitive attributes, as a hyper-parameter, and pursue extreme fairness by completely removing information of sensitive attributes from the learned fair embedding, which suffer from two challenges: huge training cost incurred by the explosion of attribute combinations, and the suboptimal trade-off between fairne…

Contemplating Secure and Optimal Design Practices for Information Infrastructure From a Human Factors Perspective
Niroop Sugunaraj
https://arxiv.org/abs/2403.07018

Contemplating Secure and Optimal Design Practices for Information Infrastructure From a Human Factors Perspective
Designing secure information infrastructure is a function of design and usability. However, security is seldom given priority when systems are being developed. Secure design practices should balance between functionality (i.e., proper design) to meet minimum requirements and user-friendliness. Design recommendations such as those with a user-centric approach (i.e., inclusive of only relevant information, user liberty) and presenting information within its proper context in a clear and engaging …

Former Patriots QB shares Drake Maye recommendations https://www.yardbarker.com/nfl/articles/former_patriots_qb_shares_drake_maye_recommendations/s1_13132_40310591

Former Patriots QB shares Drake Maye recommendations
Former New England Patriots quarterback and current free agent Brian Hoyer first entered the NFL in 2009 and has seen plenty during his lengthy career.  While speaking on the latest edition of the "Eye on Foxborough" podcast, Hoyer discussed if he thinks third overall draft pick Drake Maye should start for the Patriots as a rookie signal-caller this coming September instead of veteran Jacoby Brissett.  "I don’t think there’s any necessary reason to start him day one," Hoyer said about May…

Perplexity is licensing Yelp's data and integrating its maps, reviews, and other details in responses when users ask for restaurant recommendations (Emilia David/The Verge)
https://www.theverge.com/2024/3/12/24098728/perplexity-chatbot-y…

Perplexity brings Yelp data to its chatbot
Perplexity’s partnership with Yelp will give the search chatbot a go-to source when users ask for suggestions on the best places to eat or grab a coffee.

Link Prediction for Social Networks using Representation Learning and Heuristic-based Features
Samarth Khanna, Sree Bhattacharyya, Sudipto Ghosh, Kushagra Agarwal, Asit Kumar Das
https://arxiv.org/abs/2403.08613

Link Prediction for Social Networks using Representation Learning and Heuristic-based Features
The exponential growth in scale and relevance of social networks enable them to provide expansive insights. Predicting missing links in social networks efficiently can help in various modern-day business applications ranging from generating recommendations to influence analysis. Several categories of solutions exist for the same. Here, we explore various feature extraction techniques to generate representations of nodes and edges in a social network that allow us to predict missing links. We co…

European Commission expert group recommends uniform signage for low / zero emission zone (although fumes will reportedly be modified to be less prominent: "smoke to be shown as a contour only")
https://tra…

Urban Vehicle Access Regulations (UVARs) – recommendations by the Expert Group on Urban Mobility
The Expert Group on Urban Mobility (EGUM) has adopted its recommendations on Urban Vehicle Access Regulations .

Measuring Strategization in Recommendation: Users Adapt Their Behavior to Shape Future Content
Sarah H. Cen, Andrew Ilyas, Jennifer Allen, Hannah Li, Aleksander Madry
https://arxiv.org/abs/2405.05596

Measuring Strategization in Recommendation: Users Adapt Their Behavior to Shape Future Content
Most modern recommendation algorithms are data-driven: they generate personalized recommendations by observing users' past behaviors. A common assumption in recommendation is that how a user interacts with a piece of content (e.g., whether they choose to "like" it) is a reflection of the content, but not of the algorithm that generated it. Although this assumption is convenient, it fails to capture user strategization: that users may attempt to shape their future recommendations by adapting the…

Deputy PM: Ukraine meets requirements to approve framework for EU accession negotiations: https://benborges.xyz/2024/03/12/deputy-pm-ukraine.html

What follows is a set of recommendations I always give to those going to Buenos Aires; although there’s very little tango and football (or soccer, if you’re American), as I personally don’t dance (tango or any other dance, really) or play football.
https://akos.ma/blog/going-to-buenos-a

Going to Buenos Aires? Here to Help You
What follows is a set of recommendations I always give to those going to Buenos Aires; although there’s very little tango and football (or soccer, if you’re American), as I personally don’t dance (tango or any other dance, really) or play football.

Recommendations for accelerating open #preprint #PeerReview to improve the culture of #science: https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3002502 - "Preprints are enabling new forms of peer review that have the potential to be more thorough, inclusive, and collegial than traditional journal peer review, and to thus fundamentally shift the culture of peer review toward constructive collaboration."

Perplexity is licensing Yelp's data and integrating its maps, reviews, and other details in responses when users ask for restaurant recommendations (Emilia David/The Verge)
https://www.theverge.com/2024/3/12/24098728/perplexity-chatbot-y…

Perplexity brings Yelp data to its chatbot
Perplexity’s partnership with Yelp will give the search chatbot a go-to source when users ask for suggestions on the best places to eat or grab a coffee.

This https://arxiv.org/abs/2403.00895 has been replaced.
link: https://scholar.google.com/scholar?q=a

End-to-end Graph-Sequential Representation Learning for Accurate Recommendations
Recent recommender system advancements have focused on developing sequence-based and graph-based approaches. Both approaches proved useful in modeling intricate relationships within behavioral data, leading to promising outcomes in personalized ranking and next-item recommendation tasks while maintaining good scalability. However, they capture very different signals from data. While the former approach represents users directly through ordered interactions with recent items, the latter aims to …

CDC drops 5-day isolation guidance for Covid-19, moving away from key strategy to quell infections (Brenda Goodman/CNN)
https://www.cnn.com/2024/03/01/health/cdc-covid-isolation-recommendations
http://www.memeorandum.com/240301/p55#a240301p55

Looking for backpack recommendations. Have to carry around a very full and heavy backpack, and the current pack I have is giving me back problems because it has no good pelvis straps or ways to offload the weight from my upper back. Any recommendations are greatly appreciated.

Investigating Gender Fairness in Machine Learning-driven Personalized Care for Chronic Pain
Pratik Gajane, Sean Newman, John D. Piette
https://arxiv.org/abs/2402.19226

Investigating Gender Fairness in Machine Learning-driven Personalized Care for Chronic Pain
This study investigates gender fairness in personalized pain care recommendations using machine learning algorithms. Leveraging a contextual bandits framework, personalized recommendations are formulated and evaluated using LinUCB algorithm on a dataset comprising interactions with $164$ patients across $10$ sessions each. Results indicate that while adjustments to algorithm parameters influence the quality of pain care recommendations, this impact remains consistent across genders. However, wh…

Link Prediction for Social Networks using Representation Learning and Heuristic-based Features
Samarth Khanna, Sree Bhattacharyya, Sudipto Ghosh, Kushagra Agarwal, Asit Kumar Das
https://arxiv.org/abs/2403.08613

Link Prediction for Social Networks using Representation Learning and Heuristic-based Features
The exponential growth in scale and relevance of social networks enable them to provide expansive insights. Predicting missing links in social networks efficiently can help in various modern-day business applications ranging from generating recommendations to influence analysis. Several categories of solutions exist for the same. Here, we explore various feature extraction techniques to generate representations of nodes and edges in a social network that allow us to predict missing links. We co…

What's the best alternative to the Wirecutter for product recommendations? I'm happy to pay for a service, but I don't really want to stay subscribed to the NYT for Reasons™.

Hello, fellow @… !
I am looking for podcasts recommendations on Autism (and managing one's). DMs are open!
I've got my faves in the ADHD space ('Hacking your ADHD', the ADDitide mag one), but I realise I've never, this far, explored....
(Wait for it)
...the audible spectrum.
(I'm legit after reccys…

douban: Douban friendship network (2009)
A friendship network among users on Douban.com, a Chinese website providing recommendations for books, music, and movies.
This network has 154908 nodes and 327162 edges.
Tags: Social, Online, Unweighted
https://networks.skewed.de/net/douban<…

Instagram updates its recommendation algorithms to promote original content, impacting aggregator accounts, and increase distribution for smaller accounts (Mia Sato/The Verge)
https://www.theverge.com/2024/4/30/24144571/inst…

Instagram’s updated algorithm prioritizes original content instead of rip-offs
Instagram says its algorithm will prioritize original content and remove aggregator accounts sharing reposted content from recommendations.

I updated "My #Restaurant Recommendations In and Around #Graz" https://karl-voit.at/restaurants-Graz/

"Knowledge Graph Visualization Interface for Digital Heritage Collections: Design Issues and Recommendations" #KnowledgeGraphs

Bands I’m listening to lately:
- Momma
- Blondshell
- Wednesday
- M Lockwood Porter
- Soccer Mommy
- boygenius
- Snail Mail
- Alvvays
Anyone with similar taste have any recommendations?
#Music

User seeks recommendations for a good vulnerability management course. They suspect they might replace a former employee in managing their company's vulnerability program. They are familiar with CyberArk & Tenable, but want to enhance knowledge. https://reddit.com/r/cybersecurity/comments/1c2i47h/

- Infinite scroll loses its place
- Navigating to detail reorders / alters the index
- Streaming service buries “continue watching”
- UI has no “back” affordance / breaks the back button
- Recommender system has no way of recovering past recommendations
- No way to limit search to “things I previously viewed”
− “Where the *&$% is the thing I was JUST looking at?!??” is a UX disease running rampant in modern software.
(Re this from @…

Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks
Marco De Nadai, Francesco Fabbri, Paul Gigioli, Alice Wang, Ang Li, Fabrizio Silvestri, Laura Kim, Shawn Lin, Vladan Radosavljevic, Sandeep Ghael, David Nyhan, Hugues Bouchard, Mounia Lalmas-Roelleke, Andreas Damianou
https://arxiv.org/abs/2403.05185…

Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks
In the ever-evolving digital audio landscape, Spotify, well-known for its music and talk content, has recently introduced audiobooks to its vast user base. While promising, this move presents significant challenges for personalized recommendations. Unlike music and podcasts, audiobooks, initially available for a fee, cannot be easily skimmed before purchase, posing higher stakes for the relevance of recommendations. Furthermore, introducing a new content type into an existing platform confronts…

California Senate committee approves bill to create state agency to tackle reparations | Courthouse News Service
https://www.courthousenews.com/california-senate-committee-approves-bill-to-create-state-agency-t…

California Senate committee approves bill to create state agency to tackle reparations
The creation of the California Freedman Affairs Agency is one of the recommendations of the Task Force to Study and Develop Reparation Proposals for African Americans.

Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks
Marco De Nadai, Francesco Fabbri, Paul Gigioli, Alice Wang, Ang Li, Fabrizio Silvestri, Laura Kim, Shawn Lin, Vladan Radosavljevic, Sandeep Ghael, David Nyhan, Hugues Bouchard, Mounia Lalmas-Roelleke, Andreas Damianou
https://arxiv.org/abs/2403.05185…

Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks
In the ever-evolving digital audio landscape, Spotify, well-known for its music and talk content, has recently introduced audiobooks to its vast user base. While promising, this move presents significant challenges for personalized recommendations. Unlike music and podcasts, audiobooks, initially available for a fee, cannot be easily skimmed before purchase, posing higher stakes for the relevance of recommendations. Furthermore, introducing a new content type into an existing platform confronts…

This https://arxiv.org/abs/2403.04460 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset
Conversational recommender system is an emerging area that has garnered an increasing interest in the community, especially with the advancements in large language models (LLMs) that enable diverse reasoning over conversational input. Despite the progress, the field has many aspects left to explore. The currently available public datasets for conversational recommendation lack specific user preferences and explanations for recommendations, hindering high-quality recommendations. To address such…

User is researching breach attack simulation tools and seeks recommendations for a cost-effective product that is easy to deploy, works well with Vulnerability Management tools, and offers internal vulnerability testing without disrupting production environment. https://reddit.com/r/cybersecurity/comments/1bdi6ou/

Okay, friends, any recommendations for audiobooks, podcasts, or other materials to listen to while packing? I'm looking for something that won't require my full attention but will help pass the time. Thanks in advance for any recs!

Auditing health-related recommendations in social media: A Case Study of Abortion on YouTube
Mohammed Lahsaini, Mohamed Lechiakh, Alexandre Maurer
https://arxiv.org/abs/2404.07896

Auditing health-related recommendations in social media: A Case Study of Abortion on YouTube
Recommendation algorithms (RS) used by social media, like YouTube, significantly shape our information consumption across various domains, especially in healthcare. Hence, algorithmic auditing becomes crucial to uncover their potential bias and misinformation, particularly in the context of controversial topics like abortion. We introduce a simple yet effective sock puppet auditing approach to investigate how YouTube recommends abortion-related videos to individuals with different backgrounds. …

CDC drops 5-day isolation guidance for Covid-19, moving away from key strategy to quell infections (Brenda Goodman/CNN)
https://www.cnn.com/2024/03/01/health/cdc-covid-isolation-recommendations
http://www.memeorandum.com/240301/p55#a240301p55

USDA unveils dozens of recommendations to advance equity | The Hill #law
https://thehill.com/homenews/race-politics/4483046-usda…

USDA unveils dozens of recommendations to advance equity
The Department of Agriculture’s Equity Commission on Thursday presented a detailed report meant to address the department’s history of discrimination against farmers of color. The report, written by the 15-person commission and members of two subcommittees focused on agriculture and rural community economic development, identified decades-long acts of discrimination and listed a total of 66…

Well said from @… re new CDC #covid guidelines

This https://arxiv.org/abs/2402.15013 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Filter Bubble or Homogenization? Disentangling the Long-Term Effects of Recommendations on User Consumption Patterns
Recommendation algorithms play a pivotal role in shaping our media choices, which makes it crucial to comprehend their long-term impact on user behavior. These algorithms are often linked to two critical outcomes: homogenization, wherein users consume similar content despite disparate underlying preferences, and the filter bubble effect, wherein individuals with differing preferences only consume content aligned with their preferences (without much overlap with other users). Prior research assu…

Facebook says it's working on an AI system for its video recommendations across its entire ecosystem, and tests have led to an 8%-10% gain in Reels watch time (Jonathan Vanian/CNBC)
https://www.cnbc.com/2024/03/06/facebook-w

Google adds a tool that lets US users swipe left or right to rate apparel and accessories to get style recommendations on mobile browsers and Google app (Aisha Malik/TechCrunch)
https://techcrunch.com/2024/03/27/google-swipe-clothes-better-fa…

Google will let you swipe right or swipe left on clothes to get better fashion recommendations | TechCrunch
Google is rolling out a new update that makes it easier for users to find personalized shopping results, the company announced on Wednesday.

CDC guideline foolishness
"CDC Director Dr. Mandy Cohen said the agency is changing its guidance because most of the US population has some immunity against Covid and, as a result, the country is no longer seeing large waves of infections, hospitalizations and deaths from the coronavirus. ... the nation reaches a kind of steady state with the virus."
"Steady state" of decay, maybe.
Respect to Dr Eric Topol for saying the words "Long Covid" in this article.
#CDC #covid

So eclipse, earthquake, a comet in conjunction with Jupiter, and cicadas double-brood event
Recommendations for prepper websites, anyone?

SurveyAgent: A Conversational System for Personalized and Efficient Research Survey
Xintao Wang, Jiangjie Chen, Nianqi Li, Lida Chen, Xinfeng Yuan, Wei Shi, Xuyang Ge, Rui Xu, Yanghua Xiao
https://arxiv.org/abs/2404.06364

SurveyAgent: A Conversational System for Personalized and Efficient Research Survey
In the rapidly advancing research fields such as AI, managing and staying abreast of the latest scientific literature has become a significant challenge for researchers. Although previous efforts have leveraged AI to assist with literature searches, paper recommendations, and question-answering, a comprehensive support system that addresses the holistic needs of researchers has been lacking. This paper introduces SurveyAgent, a novel conversational system designed to provide personalized and ef…

douban: Douban friendship network (2009)
A friendship network among users on Douban.com, a Chinese website providing recommendations for books, music, and movies.
This network has 154908 nodes and 327162 edges.
Tags: Social, Online, Unweighted
https://networks.skewed.de/net/douban<…

Instagram updates its recommendation algorithms to promote original content, impacting aggregator accounts, and increase distribution for smaller accounts (Mia Sato/The Verge)
https://www.theverge.com/2024/4/30/24144571/inst…

Instagram’s updated algorithm prioritizes original content instead of rip-offs
Instagram says its algorithm will prioritize original content and remove aggregator accounts sharing reposted content from recommendations.

Aligning Large Language Models for Controllable Recommendations
Wensheng Lu, Jianxun Lian, Wei Zhang, Guanghua Li, Mingyang Zhou, Hao Liao, Xing Xie
https://arxiv.org/abs/2403.05063

Aligning Large Language Models for Controllable Recommendations
Inspired by the exceptional general intelligence of Large Language Models (LLMs), researchers have begun to explore their application in pioneering the next generation of recommender systems - systems that are conversational, explainable, and controllable. However, existing literature primarily concentrates on integrating domain-specific knowledge into LLMs to enhance accuracy, often neglecting the ability to follow instructions. To address this gap, we initially introduce a collection of super…

This https://arxiv.org/abs/2307.08669 has been replaced.
link: https://scholar.google.com/scholar?q=a

Leveraging Recommender Systems to Reduce Content Gaps on Peer Production Platforms
Peer production platforms like Wikipedia commonly suffer from content gaps. Prior research suggests recommender systems can help solve this problem, by guiding editors towards underrepresented topics. However, it remains unclear whether this approach would result in less relevant recommendations, leading to reduced overall engagement with recommended items. To answer this question, we first conducted offline analyses (Study 1) on SuggestBot, a task-routing recommender system for Wikipedia, then…

User is seeking recommendations for free, less complex cybersecurity games for daily practice and certificate prep. Wishes for metrics like leaderboards, stats, streaks, and relevancy to cert exams. Mentioned IT and Cybersecurity pocket prep app but wants more fun, clever options. https://reddit.com/r/cybersecurity/comments/1c16o7i/

Microsoft begins rolling out ads in the Windows 11 Start menu showing app "recommendations" from "a small set of curated developers"; users can disable the ads (Tom Warren/The Verge)
https://www.theverge.com/2024/4/24/2413894

Windows 11 Start menu ads are now rolling out to everyone
Microsoft is starting to rollout a Windows 11 update that enables ads in the Start menu. Thankfully, you can disable these app recommendations easily from settings.

Aligning Large Language Models for Controllable Recommendations
Wensheng Lu, Jianxun Lian, Wei Zhang, Guanghua Li, Mingyang Zhou, Hao Liao, Xing Xie
https://arxiv.org/abs/2403.05063

Aligning Large Language Models for Controllable Recommendations
Inspired by the exceptional general intelligence of Large Language Models (LLMs), researchers have begun to explore their application in pioneering the next generation of recommender systems - systems that are conversational, explainable, and controllable. However, existing literature primarily concentrates on integrating domain-specific knowledge into LLMs to enhance accuracy, often neglecting the ability to follow instructions. To address this gap, we initially introduce a collection of super…

Prompt engineering paradigms for medical applications: scoping review and recommendations for better practices
Jamil Zaghir, Marco Naguib, Mina Bjelogrlic, Aur\'elie N\'ev\'eol, Xavier Tannier, Christian Lovis
https://arxiv.org/abs/2405.01249

Prompt engineering paradigms for medical applications: scoping review and recommendations for better practices
Prompt engineering is crucial for harnessing the potential of large language models (LLMs), especially in the medical domain where specialized terminology and phrasing is used. However, the efficacy of prompt engineering in the medical domain remains to be explored. In this work, 114 recent studies (2022-2024) applying prompt engineering in medicine, covering prompt learning (PL), prompt tuning (PT), and prompt design (PD) are reviewed. PD is the most prevalent (78 articles). In 12 papers, PD, …

eBay adds an AI-powered "shop the look" feature to its iOS app, with personalized recommendations for users that have viewed 10 fashion items in six months (Sarah Perez/TechCrunch)
https://techcrunch.com/2024/04/09/ebay-ad…

eBay adds an AI-powered 'shop the look' feature to its iOS app | TechCrunch
EBay on Tuesday launched a new generative AI-powered feature to appeal to fashion enthusiasts: a "shop the look" section within its iOS mobile app that

Proactive Recommendation with Iterative Preference Guidance
Shuxian Bi, Wenjie Wang, Hang Pan, Fuli Feng, Xiangnan He
https://arxiv.org/abs/2403.07571 http…

Proactive Recommendation with Iterative Preference Guidance
Recommender systems mainly tailor personalized recommendations according to user interests learned from user feedback. However, such recommender systems passively cater to user interests and even reinforce existing interests in the feedback loop, leading to problems like filter bubbles and opinion polarization. To counteract this, proactive recommendation actively steers users towards developing new interests in a target item or topic by strategically modulating recommendation sequences. Existi…

The Fault in Our Recommendations: On the Perils of Optimizing the Measurable
Omar Besbes, Yash Kanoria, Akshit Kumar
https://arxiv.org/abs/2405.03948 https…

The Fault in Our Recommendations: On the Perils of Optimizing the Measurable
Recommendation systems are widespread, and through customized recommendations, promise to match users with options they will like. To that end, data on engagement is collected and used. Most recommendation systems are ranking-based, where they rank and recommend items based on their predicted engagement. However, the engagement signals are often only a crude proxy for utility, as data on the latter is rarely collected or available. This paper explores the following question: By optimizing for m…

The user is asking for recommendations on how to stay in the loop with the cybersecurity industry after abandoning Twitter. They're interested in sources for news, vulnerability alerts, tool discussions, and other content. https://reddit.com/r/cybersecurity/comments/1c01hsa/

User seeks recommendations for open-source/trial-based SIEM platforms to install on home network for practice and familiarization. https://reddit.com/r/cybersecurity/comments/1cmh17y/

Google adds AI-generated trip itineraries to Search, translation to Circle to Search, and curated recommendations in Maps in 40 cities across the US and Canada (Jess Weatherbed/The Verge)
https://www.theverge.com/2024/3/27/2411334

Updates to Google Maps and Search make it easier to plan your next outing
Google is introducing new translation features and AI-powered trip itineraries in Search and lists of curated recommendations in Maps.

This https://arxiv.org/abs/2403.18628 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

To Recommend or Not: Recommendability Identification in Conversations with Pre-trained Language Models
Most current recommender systems primarily focus on what to recommend, assuming users always require personalized recommendations. However, with the widely spread of ChatGPT and other chatbots, a more crucial problem in the context of conversational systems is how to minimize user disruption when we provide recommendation services for users. While previous research has extensively explored different user intents in dialogue systems, fewer efforts are made to investigate whether recommendations …

Rufus, Amazon's AI shopping assistant currently in testing, is mostly useless, and at best is a slight upgrade on searching manually for product recommendations (Shira Ovide/Washington Post)
https://www.washingtonpost.com/technology/2024/03…

We tested Amazon’s new shopping chatbot. It’s not good.
If AI is magical, why are so many chatbots dumb as rocks?

Manipulating Large Language Models to Increase Product Visibility
Aounon Kumar, Himabindu Lakkaraju
https://arxiv.org/abs/2404.07981 https://

Manipulating Large Language Models to Increase Product Visibility
Large language models (LLMs) are increasingly being integrated into search engines to provide natural language responses tailored to user queries. Customers and end-users are also becoming more dependent on these models for quick and easy purchase decisions. In this work, we investigate whether recommendations from LLMs can be manipulated to enhance a product's visibility. We demonstrate that adding a strategic text sequence (STS) -- a carefully crafted message -- to a product's information pag…

Rufus, Amazon's AI shopping assistant currently in testing, is mostly useless, and at best is a slight upgrade on searching manually for product recommendations (Shira Ovide/Washington Post)
https://www.washingtonpost.com/technology/2024/03…

We tested Amazon’s new shopping chatbot. It’s not good.
If AI is magical, why are so many chatbots dumb as rocks?

This https://arxiv.org/abs/2306.11134 has been replaced.
link: https://scholar.google.com/scholar?q=a

OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems
In recent years, the integration of Large Language Models (LLMs) into recommender systems has garnered interest among both practitioners and researchers. Despite this interest, the field is still emerging, and the lack of open-source R&D platforms may impede the exploration of LLM-based recommendations. This paper introduces OpenP5, an open-source platform designed as a resource to facilitate the development, training, and evaluation of LLM-based generative recommender systems for research purp…

CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System
Yashar Deldjoo, Tommaso di Noia
https://arxiv.org/abs/2403.05668 https://…

CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System
In the evolving landscape of recommender systems, the integration of Large Language Models (LLMs) such as ChatGPT marks a new era, introducing the concept of Recommendation via LLM (RecLLM). While these advancements promise unprecedented personalization and efficiency, they also bring to the fore critical concerns regarding fairness, particularly in how recommendations might inadvertently perpetuate or amplify biases associated with sensitive user attributes. In order to address these concerns,…

Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach
Tianhao Shi, Yang Zhang, Jizhi Zhang, Fuli Feng, Xiangnan He
https://arxiv.org/abs/2405.01063

Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach
As recommender systems are indispensable in various domains such as job searching and e-commerce, providing equitable recommendations to users with different sensitive attributes becomes an imperative requirement. Prior approaches for enhancing fairness in recommender systems presume the availability of all sensitive attributes, which can be difficult to obtain due to privacy concerns or inadequate means of capturing these attributes. In practice, the efficacy of these approaches is limited, pu…

Yahoo plans to acquire Mike Krieger and Kevin Systrom's Artifact for an undisclosed sum; Yahoo is buying the news app's tech, not the team (David Pierce/The Verge)
https://www.theverge.com/2024/4/2/24118436/yahoo-news-artifact-acquisition<…

Yahoo is acquiring Artifact to bring its AI features to Yahoo News
Artifact’s personalized “TikTok for news” app never quite caught on, but its recommendations and personalization will now be part of Yahoo News.

Can Small Language Models be Good Reasoners for Sequential Recommendation?
Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang
https://arxiv.org/abs/2403.04260

Can Small Language Models be Good Reasoners for Sequential Recommendation?
Large language models (LLMs) open up new horizons for sequential recommendations, owing to their remarkable language comprehension and generation capabilities. However, there are still numerous challenges that should be addressed to successfully implement sequential recommendations empowered by LLMs. Firstly, user behavior patterns are often complex, and relying solely on one-step reasoning from LLMs may lead to incorrect or task-irrelevant responses. Secondly, the prohibitively resource requir…

NFARec: A Negative Feedback-Aware Recommender Model
Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Dongjin Yu
https://arxiv.org/abs/2404.06900 htt…

NFARec: A Negative Feedback-Aware Recommender Model
Graph neural network (GNN)-based models have been extensively studied for recommendations, as they can extract high-order collaborative signals accurately which is required for high-quality recommender systems. However, they neglect the valuable information gained through negative feedback in two aspects: (1) different users might hold opposite feedback on the same item, which hampers optimal information propagation in GNNs, and (2) even when an item vastly deviates from users' preferences, the…

NFARec: A Negative Feedback-Aware Recommender Model
Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Dongjin Yu
https://arxiv.org/abs/2404.06900 htt…

NFARec: A Negative Feedback-Aware Recommender Model
Graph neural network (GNN)-based models have been extensively studied for recommendations, as they can extract high-order collaborative signals accurately which is required for high-quality recommender systems. However, they neglect the valuable information gained through negative feedback in two aspects: (1) different users might hold opposite feedback on the same item, which hampers optimal information propagation in GNNs, and (2) even when an item vastly deviates from users' preferences, the…