Fourth Workshop on Personalization and Recommendations in Search (PaRiS)
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 the latest research and advancements specifically on Personalization and Recommendations in Search (PaRiS) can be discussed in conjunction with KDD 2025.This will be the fourth instance of this workshop.We held three very successful instances of this workshop at the SIGIR 2024 [3], WebConf 2023 [2] and WSDM 2022.This year we will especially focus on applications of LLM and Generative AI to enable personalization and recommendations [1] in the context of search, for example, conversational assistants, while continuing to use this workshop to discuss other advances and applications in the context of personalized search and recommendations in the context of search.
Authors
- Sudarshan Lamkhede (ORCID: https://orcid.org/0000-0001-8699-3776)
- Moumita Bhattacharya (ORCID: https://orcid.org/0000-0002-7836-4504)
Institutions
- Netflix (United States) (US)
Publication Details
- Published
- 2025-08-03
- DOI
- https://doi.org/10.1145/3711896.3737848
- Primary Topic
- Recommender Systems and Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00