A Transformer-based Embedding Model for Personalized Product Search
Author:
Affiliation:
1. University of Massachusetts Amherst, Amherst, MA, USA
2. University of Utah, Salt Lake City, UT, USA
Funder
Center for Intelligent Information Retrieval
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3397271.3401192
Reference14 articles.
1. A Zero Attention Model for Personalized Product Search
2. Learning a Hierarchical Embedding Model for Personalized Product Search
3. Conversational Product Search Based on Negative Feedback
4. A Study of Context Dependencies in Multi-page Product Search
5. Deeper Text Understanding for IR with Contextual Neural Language Modeling
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