Multimodal RecSys and Search
@MM_InfoSeekingMultimodal Information Seeking,Multimodal Conversation in IS,Multimodal Learning, Multimodal Representation, Multiple Devices in IS, Multiple Interactions in IS
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🚨Exciting News! 🚨 We're very happy to announce the keynote at #RecTour24 by @abellogin from Universidad Autónoma de Madrid: "Expanding the Boundaries: Recommender Systems and the Multifaceted World of Tourism" Learn more: workshops.ds-ifs.tuwien.ac.at/rectour24/keyn… #RecSys
Congrats on a well deserved award! This paper started the revolution!
Honored to win the ACM SIGKDD Test of Time award for "DeepWalk: Online Learning of Social Representations" at KDD'24!! 🏆 (1/3) @kdd_news w/ @BedouinRanger and @StevenSkiena
📚 I am deeply pleased to announce the speaker lineup for #ROEGEN24, the 1st workshop on "Generative Recommender Systems" @ACMRecSys🎉🎉 (1) M. Chen (Principal research scientist at Google Deepmind, USA): "LLMs for Recommendations: A Hybrid Approach" #LLMs #RecSys #GenerativeAI
Tomorrow it's finally time for the second-best event of the year (after #RecSys2024 of course): THE EUROVISION SONG CONTEST 🤩
🔍 Seeking the latest on *Gen-RecSys* research, beyond just LLMs? 🚀 If so, we have exciting news for you! Stay tuned for an upcoming 2024 survey scheduled for release next week: 📊 #GenRecSys #LLM #MMLLM #foundationmodels #risks #harms #evaluation @SIGIRConf @ACMRecSys
"A Review of Modern Fashion Recommender Systems" is online. #ACMCSUR #Fashion #Textitle #RecSys @ACMSIGIR @sigchi @ACMRecSys doi.org/10.1145/3624733
🎉Exciting news!🎉 I am thrilled to announce that our survey on the "fairness of recommender systems" has been accepted by the prestigious #UMUAI journal, the first journal of personalization. arxiv.org/abs/2205.11127 #fairness #personalization #recsys
Excellent new survey on #fashion #recommender systems by a good list of expert team!
More than delighted to share the news of the Literature review on "A Review of Modern #Fashion #RecommenderSystems" being accepted for publication at #ACM #ComputingSurveys. The work was accepted directly on the first submission! Thanks to the reviewers and the editorial team!
1/2 A very exciting announcement 👇🧵 My TWO contributions to the #RecSys #handbook the BEST book currently in the RecStys community are now available online:shorturl.at/hsvCM We wrote these chapters in collaboration with senior and distinguished professionals in the area
A new survey on fashion recommender system survey is out!
2/3 #Size and #fit recommendation, #outfit advice, #trendy #garment recommendation, #makeup💄 suggestion based on facial attributes, visual sense of #compatibility, visual explanation, and other such feature distinguish #fashionRS from other fields.
A Review of Modern Fashion Recommender Systems 🔗: arxiv.org/abs/2202.02757
Multimodal Conversational Information Seeking is highlighted in the recent monograph on conversational research by @HamedZamani @JTrippas @JeffD and @firadl Definitely interesting to read.
Cool new book written by some excellent people--the are asking for early feedback too, so get reading!
Conversational Recommendation:Theoretical Model and Complexity Analysis deepai.org/publication/co… by Tommaso Di Noia et al. including @scne #ArtificialIntelligence #InformationRetrieval
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Who to follow
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ACM Transactions on Recommender Systems (ACM TORS)
@ACM_TORS -
Recommender-Systems.com (RS_c)
@RecSys_c -
Ludovico Boratto
@ludovicoboratto -
Manel Slokom
@ManelSlokom -
KaRS Workshop @ RecSys 2024
@KarsWorkshop -
David_NLP
@david_nlp -
Julia Neidhardt
@j_neidhardt -
Fairness and Explainability of Recommender Systems
@FATE_RecSys -
Giovanni Gabbolini
@GGabbolini -
RecSys in HR Workshop
@RecSysHR -
Mirko Marras
@mirkomarras -
Mesut Kaya
@kayaa_mesutt -
Helma Torkamaan
@__Helma -
Mehdi Elahi
@mehdielaahi -
Yashar Deldjoo
@yashardel
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