Author:
Boldi Paolo,Bonchi Francesco,Castillo Carlos,Vigna Sebastiano
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Information Systems
Reference44 articles.
1. Anagnostopoulos, A., Becchetti, L., Castillo, C., & Gionis, A. (2010). An optimization framework for query recommendation. In WSDM ’10: Proceedings of the third ACM international conference on web search and data mining (pp. 161–170). New York, NY, USA: ACM. doi: 10.1145/1718487.1718508 .
2. Baeza-yates, R., Hurtado, C., & Mendoza, M. (2004). Query recommendation using query logs in search engines. In International workshop on clustering information over the web (ClustWeb, in conjunction with EDBT), Creete (pp. 588–596). New York: Springer.
3. Baeza-Yates, R., & Tiberi, A. (2007). Extracting semantic relations from query logs. In KDD ’07: Proceedings of the 13th ACM SIGKDD international conference on knowledge discovery and data mining (pp. 76–85). New York, NY, USA: ACM Press. doi: 10.1145/1281192.1281204 .
4. Baraglia, R., Castillo, C., Donato, D., Nardini, F. M., & Perego, R. (2010). The effects of time on query flow graph-based models for query suggestion. In Proceedings of RIAO.
5. Baraglia, R., Castillo, C., Donato, D., Nardini, F. M., Perego, R., & Silvestri, F. (2009). Aging effects on query flow graphs for query suggestion. In CIKM ’09: Proceeding of the 18th ACM conference on information and knowledge management (pp. 1947–1950). New York, NY, USA: ACM. doi: 10.1145/1645953.1646272 .
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