Multi-Resolution Attention for Personalized Item Search
Author:
Affiliation:
1. Google Inc., Mountain View, CA, USA
2. University of California, Santa Barbara, Santa Barbara, CA, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3488560.3498426
Reference44 articles.
1. A Zero Attention Model for Personalized Product Search
2. Learning a Hierarchical Embedding Model for Personalized Product Search
3. Ashton Anderson et al. 2020. Algorithmic effects on the diversity of consumption on spotify . In Proceedings of TheWebConf'20 . 2155--2165. Ashton Anderson et al. 2020. Algorithmic effects on the diversity of consumption on spotify. In Proceedings of TheWebConf'20. 2155--2165.
4. Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search
5. Personalized product search based on user transaction history and hypergraph learning
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1. Intent-Oriented Dynamic Interest Modeling for Personalized Web Search;ACM Transactions on Information Systems;2024-02-09
2. Query-dominant User Interest Network for Large-Scale Search Ranking;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21
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