Jie Wu
ABSTRACT
We handle a special category of Web queries, queries containing numeric terms. We call them numeric queries. Motivated by some issues in ranking of numeric queries, we detect numeric sensitive queries by mining from retrieved documents using phrase operator. We also propose features based on numeric terms by extracting reliable numeric terms for each document. Finally, a ranking model is trained for numeric sensitive queries, combining proposed numeric-related features and traditional features. Experiments show that our model can significantly improve relevance for numeric sensitive queries.
- C. Burges, T. Shaked, E. Renshaw, A. Lazier, M. Deeds, N. Hamilton, and G. Hullender. Learning to rank using gradient descent. In ICML, pages 89--96, 2005. Google Scholar
Digital Library
- W. Dakka, L. Gravano, and P. Ipeirotis. Answering general time sensitive queries. In CIKM, pages 1437--1438, 2008. Google ScholarDigital Library
- F. Diaz and R. Jones. Using temporal profiles of queries for precision prediction. In SIGIR, pages 18--24, 2004. Google ScholarDigital Library
- D. Metzler, R. Jones, F. Peng, and R. Zhang. Improving search relevance for implicitly temporal queries. In SIGIR, pages 700--701, 2009. Google ScholarDigital Library
Index Terms
- Numeric query ranking approach
Recommendations
An approach to use query-related web context on document ranking
ICUIMC '11: Proceedings of the 5th International Conference on Ubiquitous Information Management and CommunicationWith the development of Web search engines, it is considered as an important task to provide retrieved documents in a proper manner. Many search engines have used various document ranking algorithms to provide their retrieved documents in a more ...
Automatic Discovery of Attribute Synonyms Using Query Logs and Table Corpora
WWW '16: Proceedings of the 25th International Conference on World Wide WebAttribute synonyms are important ingredients for keyword-based search systems. For instance, web search engines recognize queries that seek the value of an entity on a specific attribute (referred to as e+a queries) and provide direct answers for them ...
Diversifying Query Auto-Completion
Query auto-completion assists web search users in formulating queries with a few keystrokes, helping them to avoid spelling mistakes and to produce clear query expressions, and so on. Previous work on query auto-completion mainly centers around ...
Comments