Predicting text entry speed on mobile phones
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Agglomerative clustering of a search engine query log
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
A vector space model for automatic indexing
Communications of the ACM
Query clustering using user logs
ACM Transactions on Information Systems (TOIS)
Query Expansion by Mining User Logs
IEEE Transactions on Knowledge and Data Engineering
Personalized query expansion for the web
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Asymmetrical query recommendation method based on bipartite network resource allocation
Proceedings of the 17th international conference on World Wide Web
| Hi-index | 0.00 |
In this paper, we study the role of query recommendation on mobile search engine. We start with the discussion of the role of query recommendation in modern search engines. Secondly, a mobile search engine, Roboo® (http://wap.roboo.com), is introduced and we discuss the need for query recommendation over mobile search engine. Thirdly, the query recommendation solution working on Roboo® is introduced in detail, including the models, how they are constructed and how they operate online. Finally, we demonstrate the benefits of query recommendation brought on Roboo® based on the analysis of real search log data collected since its release online in August, 2008. Considering the scarcity of scientific publications about the practical values of query recommendation on commercial mobile search engine, this paper should represent an interesting and useful reference for both academic and industrial colleagues.