Identifying regional sensitive queries in web search

Authors:
Srinivas Vadrevu;Ya Zhang;Belle Tseng;Gordon Sun;Xin Li
Affiliations:
Yahoo! Inc., Sunnyvale, CA, USA;Yahoo! Inc., Sunnyvale, CA, USA;Yahoo! Inc., Sunnyvale, CA, USA;Yahoo! Inc., Sunnyvale, CA, USA;Yahoo! Inc., Sunnyvale, CA, USA
Venue:
Proceedings of the 17th international conference on World Wide Web
Year:
2008

Citing 2
Cited 2

Detecting online commercial intention (OCI)

Proceedings of the 15th international conference on World Wide Web
Determining the user intent of web search engine queries

Proceedings of the 16th international conference on World Wide Web

Placing flickr photos on a map

Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Beyond co-occurrence: discovering and visualizing tag relationships from geo-spatial and temporal similarities

Proceedings of the fifth ACM international conference on Web search and data mining

Quantified Score

Hi-index	0.00

Visualization

Abstract

In Web search ranking, the expected results for some queries could vary greatly depending upon location of the user. We name such queries regional sensitive queries. Identifying regional sensitivity of queries is important to meet users' needs. The objective of this work is to identify whether a user expects only regional results for a query. We present three novel features generated from search logs and build a meta query classifier to identify regional sensitive query. Experimental results show that the proposed method achieves high accuracy in identifying regional sensitive queries.