Mining Coordinated Intent Representation for Entity Search and Recommendation
Huizhong Duan, ChengXiang Zhai · 2015
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.