Third Workshop on Personalization and Recommendations in Search (PaRiS)
Pages 3065 - 3069
Abstract
With proliferation of personal computing devices and large number of logged-in experiences, search has evolved to a stage with many different product scenarios where personalization plays a crucial role for relevance quality and user satisfaction. The purpose of this workshop is have a forum where latest research and advancements specifically on Personalization and Recommendations in Search (PaRiS) can be discussed in conjunction with SIGIR 2024. This will be the third instance of this workshop. We held two very successful instances of this workshop at the WebConf 2023 [5] and WSDM 2022. This year we will especially focus on applications of LLMs and Generative AI to enable personalization and recommendations [1] in the context of search, for example, conversational assistants, while continuing to use this workshop for discussing other advances and applications in the context of personalized search and recommendations in the context of search.
References
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Moumita Bhattacharya and Sudarshan Lamkhede. 2022. Augmenting Netflix Search with In-Session Adapted Recommendations. In Proceedings of the 16th ACM Conference on Recommender Systems (Seattle, WA, USA,) (RecSys '22). Association for Computing Machinery, New York, NY, USA, 542--545. https: //doi.org/10.1145/3523227.3547407
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Ludovico Boratto and Giovanni Stilo. 2018. Report on the Workshop on Social Aspects in Personalization And Search (SoAPS). SIGIR Forum 52, 1 (aug 2018), 147--149. https://doi.org/10.1145/3274784.3274800
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Sahan Bulathwela, María Pérez-Ortiz, Rishabh Mehrotra, Davor Orlic, Colin de la Higuera, John Shawe-Taylor, and Emine Yilmaz. 2021. Report on the WSDM 2020 workshop on state-based user modelling (SUM'20). SIGIR Forum 54, 1, Article 5 (feb 2021), 11 pages. https://doi.org/10.1145/3451964.3451969
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Sudarshan Lamkhede, Anlei Dong, Moumita Bhattacharya, and Hongning Wang. 2023. Personalization and Recommendations in Search (WWW '23 Companion). Association for Computing Machinery, New York, NY, USA, 746. https://doi. org/10.1145/3543873.3589749
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Rishabh Mehrotra, Ahmed Hassan Awadallah, and Emine Yilmaz. 2018. LearnIR: WSDM 2018 Workshop on Learning from User Interactions. In Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining (Marina Del Rey, CA, USA) (WSDM '18). Association for Computing Machinery, New York, NY, USA, 797--798. https://doi.org/10.1145/3159652.3160598
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Hui Yang, Ian Soboroff, Li Xiong, Charles L.A. Clarke, and Simson L. Garfinkel. 2016. Privacy-Preserving IR 2016: Differential Privacy, Search, and Social Media. In Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (Pisa, Italy) (SIGIR '16). Association for Computing Machinery, New York, NY, USA, 1247--1248. https://doi.org/10.1145/ 2911451.2917763
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Feida Zhu, Yongfeng Zhang, Neil Yorke-Smith, Guibing Guo, and Xu Chen. 2018. IFUP: Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization. In Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining (Marina Del Rey, CA, USA) (WSDM '18). Association for Computing Machinery, New York, NY, USA, 804--805. https://doi.org/10. 1145/3159652.3160592
Index Terms
- Third Workshop on Personalization and Recommendations in Search (PaRiS)
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Information & Contributors
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Published In
July 2024
3164 pages
ISBN:9798400704314
DOI:10.1145/3626772
- General Chairs:
- Grace Hui Yang,
- Hongning Wang,
- Sam Han,
- Program Chairs:
- Claudia Hauff,
- Guido Zuccon,
- Yi Zhang
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Publication History
Published: 11 July 2024
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SIGIR 2024
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SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
July 14 - 18, 2024
Washington DC, USA
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