research-article

A Category-aware Multi-interest Model for Personalized Product Search

Authors:

Ji-Rong WenAuthors Info & Claims

WWW '22: Proceedings of the ACM Web Conference 2022

Pages 360 - 368

https://doi.org/10.1145/3485447.3511964

Published: 25 April 2022 Publication History

Abstract

Product search has been an important way for people to find products on online shopping platforms. Existing approaches in personalized product search mainly embed user preferences into one single vector. However, this simple strategy easily results in sub-optimal representations, failing to model and disentangle user’s multiple preferences. To overcome this problem, we proposed a category-aware multi-interest model to encode users as multiple preference embeddings to represent user-specific interests. Specifically, we also capture the category indications for each preference to indicate the distribution of categories it focuses on, which is derived from rich relations between users, products, and attributes. Based on these category indications, we develop a category attention mechanism to aggregate these various preference embeddings considering current queries and items as the user’s comprehensive representation. By this means, we can use this representation to calculate matching scores of retrieved items to determine whether they meet the user’s search intent. Besides, we introduce a homogenization regularization term to avoid the redundancy between user interests. Experimental results show that the proposed method significantly outperforms existing approaches.

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https://dl.acm.org/doi/10.1145/3716131
Wang SDou ZLiu JZhu QWen J(2024)Personalized and Diversified: Ranking Search Results in an Integrated WayACM Transactions on Information Systems10.1145/363198942:3(1-25)Online publication date: 22-Jan-2024
https://dl.acm.org/doi/10.1145/3631989
Deng ZDou ZZhu YQin XCheng PWu JWang HHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)JDivPS: A Diversified Product Search DatasetProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657888(1152-1161)Online publication date: 10-Jul-2024
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Index Terms

A Category-aware Multi-interest Model for Personalized Product Search
1. Information systems
  1. Information retrieval
  2. Information systems applications

Index terms have been assigned to the content through auto-classification.

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cover image ACM Conferences

WWW '22: Proceedings of the ACM Web Conference 2022

April 2022

3764 pages

ISBN:9781450390965

DOI:10.1145/3485447

Editors:
Frédérique Laforest
INSA Lyon, France
,
Raphaël Troncy
EURECOM, France
,
Elena Simperl
King’s College London, UK
,
Deepak Agarwal
Pinterest, USA
,
Aristides Gionis
KTH Royal Institute of Technology, Sweden
,
Ivan Herman
W3C / retired
,
Lionel Médini
Université Lyon 1, France

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Published: 25 April 2022

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Beijing Outstanding Young Scientist Program award
National Natural Science Foundation of China award
China Unicom Innovation Ecological Cooperation Plan award
Intelligent Social Governance Platform, Major Innovation & Planning Interdisciplinary Platform for the Double-First Class Initiative, Renmin University of China award

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April 25 - 29, 2022

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Cited By

Zhang HZhu QDou Z(2025)A Unified Prompt-aware Framework for Personalized Search and Explanation GenerationACM Transactions on Information Systems10.1145/3716131Online publication date: 4-Feb-2025
https://dl.acm.org/doi/10.1145/3716131
Wang SDou ZLiu JZhu QWen J(2024)Personalized and Diversified: Ranking Search Results in an Integrated WayACM Transactions on Information Systems10.1145/363198942:3(1-25)Online publication date: 22-Jan-2024
https://dl.acm.org/doi/10.1145/3631989
Deng ZDou ZZhu YQin XCheng PWu JWang HHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)JDivPS: A Diversified Product Search DatasetProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657888(1152-1161)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657888
Shi TSi ZXu JZhang XZang XZheng KLeng DNiu YSong YHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)UniSAR: Modeling User Transition Behaviors between Search and RecommendationProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657811(1029-1039)Online publication date: 10-Jul-2024
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Li MChen XXiang JZhang QMa CDai CChang JLiu ZZhang GAngélica LLattanzi SMuñoz Medina AAkoglu LGionis AVassilvitskii S(2024)Multi-Intent Attribute-Aware Text Matching in SearchingProceedings of the 17th ACM International Conference on Web Search and Data Mining10.1145/3616855.3635813(360-368)Online publication date: 4-Mar-2024
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Xie JLiu SCong GChen ZChua TNgo CKa-Wei Lee RKumar RLauw H(2024)UnifiedSSR: A Unified Framework of Sequential Search and RecommendationProceedings of the ACM Web Conference 202410.1145/3589334.3645427(3410-3419)Online publication date: 13-May-2024
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Farshidi SRezaee KMazaheri SRahimi ADadashzadeh AZiabakhsh MEskandari SJansen S(2024)Understanding user intent modeling for conversational recommender systems: a systematic literature reviewUser Modeling and User-Adapted Interaction10.1007/s11257-024-09398-x34:5(1643-1706)Online publication date: 6-Jun-2024
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Sun ZSi ZZang XLeng DNiu YSong YZhang XXu JFrommholz IHopfgartner FLee MOakes MLalmas MZhang MSantos R(2023)KuaiSAR: A Unified Search And Recommendation DatasetProceedings of the 32nd ACM International Conference on Information and Knowledge Management10.1145/3583780.3615123(5407-5411)Online publication date: 21-Oct-2023
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Gong YDing XSu YShen KLiu ZZhang GFrommholz IHopfgartner FLee MOakes MLalmas MZhang MSantos R(2023)An Unified Search and Recommendation Foundation Model for Cold-Start ScenarioProceedings of the 32nd ACM International Conference on Information and Knowledge Management10.1145/3583780.3614657(4595-4601)Online publication date: 21-Oct-2023
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Dai SLiu JDou ZWang HLiu LLong BWen JSingh ASun YAkoglu LGunopulos DYan XKumar ROzcan FYe J(2023)Contrastive Learning for User Sequence Representation in Personalized Product SearchProceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining10.1145/3580305.3599287(380-389)Online publication date: 6-Aug-2023
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