Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6864989 | Neurocomputing | 2018 | 5 Pages |
Abstract
In this work, we propose a novel query completion algorithm based on ranking cQA questions with entity and phrase information for cQA search, and a demonstration system has been developed. Without involvement of query log, this method clearly helps users complete their queries. Empirical experiments on a large scale cQA dataset show that the proposed algorithm can successfully improve user experience.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Xian-Ling Mao, Yi-Jing Hao, Dan Wang, Heyan Huang,