Research review of time-sensitive query auto-completion technique

被引:0
作者
Tian, Xuan [1 ]
Zhang, Xiao [1 ]
Meng, Xiang-Guang [1 ]
Chen, Zhi-Bo [1 ]
机构
[1] School of Information Science & Technology, Beijing Forestry University, Beijing
来源
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2015年 / 43卷 / 06期
关键词
Candidates' weights calculation; Information retrieval; Query auto-completion; Time-sensitive;
D O I
10.3969/j.issn.0372-2112.2015.06.018
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Query auto-completion of search engines provides good experience for the users. With the user's search intention changing over time, time-sensitive query auto-completion (TSQC) comes to be a research focus. Different from traditional query auto-completion, recommendation list of TSQC is made according to the attaching time features of the query words. First, the definition and classification of TSQC are introduced. Then the key steps of TSQC are presented and analyzed, which include type judgment of time-sensitive query, weight calculation of candidates and recommendation list ranking. Finally, technique evaluation and future development of TSQC are analyzed and summarized. ©, 2015, Chinese Institute of Electronics. All right reserved.
引用
收藏
页码:1160 / 1168
页数:8
相关论文
共 45 条
[1]  
Dakka W., Gravano L., Ipeirotis P.G., Answering general time-sensitive queries, Knowledge and Data Engineering, IEEE Transactions on, 24, 2, pp. 220-235, (2012)
[2]  
Fu C.-L., Silver D., Time-sensitive Sampling for Spam Filtering, pp. 551-553, (2004)
[3]  
Shokouhi M., Radinsky K., Time-sensitive query auto-completion, Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 601-610, (2012)
[4]  
Zhang R., Chang Y., Zheng Z., Metzler D., Nie J.-Y., Search result re-ranking by feedback control adjustment for time-sensitive query, Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume, pp. 165-168, (2009)
[5]  
Efron M., Linear time series models for term weighting in information retrieval, Journal of the American Society for Information Science and Technology, 61, 7, pp. 1299-1312, (2010)
[6]  
Dong A., Zhang R., Kolari P., Bai J., Diaz F., Chang Y., Et al., Time is of the essence: Improving recency ranking using twitter data, Proceedings of the 19th International Conference on World Wide Web, pp. 331-340, (2010)
[7]  
Radinsky K., Svore K., Dumais S., Teevan J., Bocharov A., Horvitz E., Modeling and predicting behavioral dynamics on the web, Proceedings of the 21st International Conference on World Wide Web, pp. 599-608, (2012)
[8]  
Bar-Yossef Z., Kraus N., Context-sensitive query auto-completion, Proceedings of the 20th International Conference on World Wide Web, pp. 107-116, (2011)
[9]  
Bast H., Weber I., Type less, find more: fast autocompletion search with a succinct index, Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 364-371, (2006)
[10]  
Chaudhuri S., Kaushik R., Extending autocompletion to tolerate errors, Proceedings of the 35th SIGMOD International Conference on Management of Data, pp. 707-718, (2009)