Article ID Journal Published Year Pages File Type
6864989 Neurocomputing 2018 5 Pages PDF
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
, , , ,