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Posts tagged #Recommender

it has been submitted to @peercommunityin.bsky.social but we are still waiting for a #recommender, so if you're keen to do the job ;-)
#diamond #peer-review 🌍🧪

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Across multiple countries and domains, GAP unified behavioral data with Luigi’s Box, enabled search by product master codes, and fine-tuned relevance using redirects and synonyms.

Smarter recommendations helped customers find better alternatives faster.

#search #recommender #fashion #gap

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Solving the Cold Start Problem on One's Own as an End User via Preference Transfer

Ryoma Sato

Action editor: Kevin Swersky

https://openreview.net/forum?id=Sgj0ZdoVWH

#recommender #preference #target

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Accounting for AI and Users Shaping One Another: The Role of Mathematical Models

Sarah Dean, Evan Dong, Meena Jagadeesan, Liu Leqi

Action editor: Sebastian Tschiatschek

https://openreview.net/forum?id=UkP4DhrJt1

#recommender #ai #interacts

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Revisiting XRec: How Collaborative Signals Influence LLM-Based Recommendation Explanations

Cătălin-Emanuel Brița, Hieu Nguyen, Lubov Chalakova, Nikola Petrov

Action editor: Yan Liu

https://openreview.net/forum?id=cPtqOkxQqH

#recommender #attention #collaborative

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AgenticRAG Enables Zero‑Shot Explainable Recommendations

AgenticRAG Enables Zero‑Shot Explainable Recommendations

AgenticRAG merges tool‑augmented models with retrieval‑augmented generation to give transparent recommendations without task‑specific training, boosting NDCG@10 by up to 1.6% on Yelp. getnews.me/agenticrag-enables-zero-... #explainableai #recommender

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Digital Advertisers Will Soon Vie for AI Agents’ Attention The modern Internet is, for better or for worse, built on advertising. But the advent of autonomous AI agents that can search for inform...

#Ai #agents #Advertising #Marketing #Search #engines […]

[Original post on spectrum.ieee.org]

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Digital Advertisers Will Soon Vie for AI Agents’ Attention The modern Internet is, for better or for worse, built on advertising. But the advent of autonomous AI agents that can search for inform...

#Ai #agents #Advertising #Marketing #Search #engines […]

[Original post on spectrum.ieee.org]

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Digital Advertisers Will Soon Vie for AI Agents’ Attention The modern Internet is, for better or for worse, built on advertising. But the advent of autonomous AI agents that can search for inform...

#Ai #agents #Advertising #Marketing #Search #engines […]

[Original post on spectrum.ieee.org]

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Digital Advertisers Will Soon Vie for AI Agents’ Attention The modern Internet is, for better or for worse, built on advertising. But the advent of autonomous AI agents that can search for inform...

#Ai #agents #Advertising #Marketing #Search #engines […]

[Original post on spectrum.ieee.org]

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New #Reproducibility Certification:

Revisiting XRec: How Collaborative Signals Influence LLM-Based Recommendation Explanations

Cătălin-Emanuel Brița, Hieu Nguyen, Lubov Chalakova, Nikola Petrov

https://openreview.net/forum?id=cPtqOkxQqH

#recommender #attention #collaborative

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CCIA Europe's feedback - Guidelines on protection of minors online under the DSA - CCIA Computer & Communication Industry Association

3️⃣ Pay particular attention to #AgeAssurance requirements
4️⃣ Promote neutral design of online services
5️⃣ Acknowledge the value of #recommender systems

👇 Check our full submission to learn more: buff.ly/OSfoaSw

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Build and train a recommender system in 10 minutes using Keras and JAX- Google Developers Blog Explore KerasRS, a new library built on Keras 3 with state-of-the-art recommendation techniques with multi-backend support.

Build and #train a #recommender system in 10 minutes using #Keras and #JAX or #tensorflow or #pytorch
developers.googleblog.com/en/build-tra...

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Producers Equilibria and Dynamics in Engagement-Driven Recommender Systems

Krishna Acharya, Juba Ziani, Jingyan Wang, Varun Vangala

Action editor: Manuel Rodriguez

https://openreview.net/forum?id=EWT4GxjGDS

#content #recommender #producers

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Personalized Negative Reservoir for Incremental Learning in Recommender Systems

Antonios Valkanas, Yuening Wang, Yingxue Zhang, Mark Coates

Action editor: Laurent Charlin

https://openreview.net/forum?id=jrUUk5Fskm

#forgetting #recommender #forget

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New #Expert Certification:

Personalized Negative Reservoir for Incremental Learning in Recommender Systems

Antonios Valkanas, Yuening Wang, Yingxue Zhang, Mark Coates

https://openreview.net/forum?id=jrUUk5Fskm

#forgetting #recommender #forget

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What is content-based filtering? - Redis Build a content-based recommendation system with RedisVL. Learn vector similarity search and metadata-driven techniques for personalized recommendations.

Nice sample of a #recommender in #python @redis.io - builds on embeddings -- will allow one to trying more sophisticated techniques!

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Brussels orders X to hand over documents on algorithm Request follows complaints from politicians about Elon Musk’s platform boosting far-right AfD party

It's incredible how musk transformed into an unscrupulous extreme-right booster. Yet, in contrast to billionaire newspaper owners, Musk also controls a #recommender system. Plenty of reason for alarm.

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🚀One more week to apply to this great #CSS PhD opportunity!

I will co-supervise the candidate working on visualization of argumentation #networks, together w/ computer scientists at TU Vienna & @univie.ac.at. Other topics include #recommender #algorithms & #AI #literacy. Check this out! 👇

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#Recommender #Systems for #Sustainability: Overview and Research Issues arxiv.org/pdf/2412.03620

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Screenshot of the NRHM journal webpage featuring the article titled "Narrative co-creation with SPORE: a spatial hypertext based narrative recommender system" by Daniel Roßner, Claus Atzenbeck, and Sam Brooker. The page includes publication details, authors' names, and a summary of the paper.

Screenshot of the NRHM journal webpage featuring the article titled "Narrative co-creation with SPORE: a spatial hypertext based narrative recommender system" by Daniel Roßner, Claus Atzenbeck, and Sam Brooker. The page includes publication details, authors' names, and a summary of the paper.

Excited to announce that our paper “Narrative co-creation with SPORE: a spatial #hypertext based #narrative #recommender system” has been published in the NRHM journal as #OpenAccess! 🎉 Co-authored with Daniel Roßner and Sam Brooker.
→ doi.org/10.1080/1361...
#elit #eliterature #recsys

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A screenshot showing the ACM Digital Library page of the mentioned article.

A screenshot showing the ACM Digital Library page of the mentioned article.

There was also a paper related to Spatial #Hypertext oriented #Recommender Systems presented by Daniel Roßner at this week's ACM Hypertext Conference in Poznań, co-authored by Lisa Eidloth and myself: “PAIRWISE – From Spatial Structure to Knowledge”. It is available at doi.org/10.1145/3648...

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This morning, a news #recommender #algorithm selected a #sensationalistic article for me on top #celebrities that committed suicide. Another example how #harmful content can be amplified. I assume, it was not on purpose… 1/7

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«pivotal decisions to balance risks and advantages when choosing a #recommender #system model demand broader, more inclusive deliberation by policymakers in the immediate future, reflecting the diverse perspectives and stakes of the wider society they aim to serve.»

#algorithmtransparency
#DSA
👇

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Recommender Systems The ongoing rapid expansion of the Internet greatly increases the necessity of effective recommender systems for filtering the abundant information. Extensive research for recommender systems is...

#Recommender Systems

arxiv.org/abs/1202.1112

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