Clustering user queries of a search engine
Proceedings of the 10th international conference on World Wide Web
Mining search engine query logs for query recommendation
Proceedings of the 15th international conference on World Wide Web
Query suggestions for mobile search: understanding usage patterns
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Mobile search not only inherits some features of traditional search on PC, but also has many of its own special characteristics. In this paper, we firstly share some unique features about mobile search and discuss why vertical search is preferred. Providing multiple vertical searches is proved to be convenient to users but causes some minor problem as well. This plays as the initiative for us to propose cross-channel query recommendation. Secondly, we briefly introduce how to realize the cross-channel recommendation effectively and efficiently online. Finally, we analyze the performance of the proposed method from three different but related metrics: expected effect, off-line evaluation and on-line evaluation. All three studies together indicate that the proposed cross-channel recommendation is quite useful. Being the first study about query recommendation on mobile search, it is believed that the findings, proposed solution and collected feedback as presented here will be beneficial to both researchers and industry companies while considering how to provide better mobile search service.