Author:
Li Lin,Zhong Luo,Yang Zhenglu,Kitsuregawa Masaru
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Reference45 articles.
1. Aris, A., Luca, B., Carlos, C., Aristides, G. (2010). An optimization framework for query recommendation. In Proc. of the Third international conference on web search and web data mining (WSDM’10) (pp. 161–170). New York: ACM.
2. Baeza-Yates, R.A., Hurtado, C.A., Mendoza, M. (2007). Improving search engines by query clustering. JASIST, 58, 1793–1804.
3. Bayardo, R.J., Ma, Y., Srikant, R. (2007). Scaling up all pairs similarity search. In Proc. of the 16th international conference on World Wide Web (WWW’07), Banff, Alberta, Canada (pp. 131–140). New York: ACM.
4. Beeferman, D., & Berger, A.L. (2000). Agglomerative clustering of a search engine query log. In Proc. of the 6th ACM SIGKDD international conference on knowledge discovery and data mining (KDD’00), Boston, MA, USA (pp. 407–416). New York: ACM.
5. Boley, D. (1998). Principal direction divisive partitioning. Data Mining and Knowledge Discovery, 2, 325–344.
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. DeepQFM: a deep learning based query facets mining method;Information Retrieval Journal;2023-10-30
2. Visual Language for Specifying Verification Properties;Proceedings of the 4th International Conference on Big Data and Internet of Things;2019-10-23
3. Generating Query Facets Using Knowledge Bases;IEEE Transactions on Knowledge and Data Engineering;2017-02-01
4. Automatically Mining Facets for Queries from Their Search Results;IEEE Transactions on Knowledge and Data Engineering;2016-02-01