Personalized Semantic Matching for Web Search

Kunlei Jing, Fei Hao, Xizi Zhang, Yu Zhou

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

In recent years, a wide variety of neural networks have been introduced for Web search to calculate the semantic relevance between search queries and Web pages. Although fairly good performance has been achieved, a severe drawback which impedes the existing models delivering superior performance is their one size fits all fashion: the neural networks treat the information needs from different users exactly in the same way. In order to obtain better relevance estimation between search queries and Web pages for each individual user, one novel approach is proposed in this paper to insert a user component for user embedding into the neural network for personalization and three strategies are introduced based on the insert location. These strategies incrementally add a user component to non-personalized neural networks and result in highly personalized relevance computation. The personalized neural networks do not only provide quality calibrated result for the chosen users but also guarantee no side-effect to the others. Comprehensive experiments have been carried out on a large-scale data set of a major commercial search engine to evaluate the proposed method. Experimental results verify the validity of neural network personalization and the superiority of proposed strategies.

Original languageEnglish
Title of host publicationProceedings - 2023 IEEE 39th International Conference on Data Engineering Workshops, ICDEW 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages205-210
Number of pages6
ISBN (Electronic)9798350322446
DOIs
Publication statusPublished - Jun 2023
Event39th IEEE International Conference on Data Engineering Workshops, ICDEW 2023 - Anaheim, United States
Duration: 3 Apr 20237 Apr 2023

Publication series

NameProceedings - 2023 IEEE 39th International Conference on Data Engineering Workshops, ICDEW 2023

Conference

Conference39th IEEE International Conference on Data Engineering Workshops, ICDEW 2023
Country/TerritoryUnited States
CityAnaheim
Period3/04/237/04/23

Keywords

  • neural networks
  • personalization
  • user component
  • Web search

ASJC Scopus subject areas

  • Information Systems and Management
  • Statistics, Probability and Uncertainty
  • Management Information Systems
  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Decision Sciences (miscellaneous)

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