A bipartite graph-based ranking approach to query subtopics diversification focused on word embedding features
(2016)
Journal Article
Ullah, M. Z., & Aono, M. (2016). A bipartite graph-based ranking approach to query subtopics diversification focused on word embedding features. IEICE Transactions on Information and Systems, 99(12), 3090-3100. https://doi.org/10.1587/transinf.2016EDP7190
Web search queries are usually vague, ambiguous, or tend to have multiple intents. Users have different search intents while issuing the same query. Understanding the intents through mining subtopics underlying a query has gained much interest in rec... Read More about A bipartite graph-based ranking approach to query subtopics diversification focused on word embedding features.