Mining coordinated intent representation for entity search and recommendation

Huizhong Duan, Cheng Xiang Zhai

Research output: Chapter in Book/Report/Conference proceedingConference contribution


We study the problem of learning query intent representation for an entity search task such as product retrieval, where a user would use a keyword query to retrieve entities based on their structured attribute value descriptions. Existing intent representation has been mostly based on the query space. These methods overlook the critical information from the entity space and the connection in between. Consequently, when such representation methods are used in intent mining from user engagement logs in entity search, they cannot fully discover the comprehensive knowledge of user preference, which is essential for improving the effectiveness of entity search and recommendation, as well as many applications such as business intelligence. To address this problem, we propose a novel Coordinated Intent Representation, where each user intent is represented collectively in both the query space and the entity space. Specifically, a coordinated intent representation consists of a language model to capture typical query terms used for search and a series of probabilistic distributions on entity attributes and attribute values to characterize the preferred features of entities for the corresponding intent. We propose a novel generative model to discover coordinated intent representations from the entity search logs. Evaluation in the domain of product search shows that the proposed model is effective for discovering meaningful coordinated shopping intents, and the discovered intent representation can be directly used for improving the accuracy of product search and recommendation.

Original languageEnglish (US)
Title of host publicationCIKM 2015 - Proceedings of the 24th ACM International Conference on Information and Knowledge Management
PublisherAssociation for Computing Machinery
Number of pages10
ISBN (Electronic)9781450337946
StatePublished - Oct 17 2015
Event24th ACM International Conference on Information and Knowledge Management, CIKM 2015 - Melbourne, Australia
Duration: Oct 19 2015Oct 23 2015

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings


Other24th ACM International Conference on Information and Knowledge Management, CIKM 2015


  • Coordinated representation
  • Intent mining
  • Intent representation
  • Joint mixture model
  • Product recommendation
  • Product search

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Business, Management and Accounting(all)


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