Research on time-aware Web search

被引:0
作者
Lin, Sheng [1 ]
Jin, Pei-Quan [1 ,2 ]
Zhao, Xu-Jian [3 ]
Yue, Li-Hua [1 ,2 ]
机构
[1] School of Computer Science and Technology, University of Science and Technology of China, Hefei
[2] Key Laboratory of Electromagnetic Space Information, Chinese Academy of Sciences, Hefei
[3] School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, 621010, Sichuan
来源
Jisuanji Xuebao/Chinese Journal of Computers | 2015年 / 38卷 / 11期
基金
中国国家自然科学基金;
关键词
Temporal word expansion; Time-aware ranking; Web search;
D O I
10.11897/SP.J.1016.2015.02163
中图分类号
学科分类号
摘要
Utilizing time information to improve the effective of Web search has been a research focus in recent years, because most Web pages contain time information and many Web queries involve time-related query terms. Motivated by the needs of time-aware Web search, in this paper, we concentrate on two key issues, namely temporal keyword expansion and time-aware ranking. Particularly, we propose a new algorithm for temporal word expansion which is based on the co-occurrence of query terms and time words. In addition, we present a new time-aware ranking algorithm considering both textual relevance and time relevance. We build a prototype system and conduct experiments on real data sets to evaluate the performance of our proposal. The results show that the proposed algorithms are time efficient and have a substantial improvement on the effective of Web search. © 2015, Science Press. All right reserved.
引用
收藏
页码:2163 / 2171
页数:8
相关论文
共 16 条
[1]  
Berberich K., Bedathur S., Alonso O., Weikum G., A language modeling approach for temporal information needs, Proceedings of the 32nd European Conference on Information Retrieval (ECIR), pp. 13-25, (2010)
[2]  
Metzler D., Jones R., Peng F., Zhang R., Improving search relevance for implicitly temporal queries, Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 700-701, (2009)
[3]  
Lin S., Jin P., Zhao X., Yue L., TASE: A time-aware search engine, Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM), pp. 2713-2715, (2012)
[4]  
Li X., Croft W.B., Time-based language models, Proceedings of the 12th ACM International Conference on Information and Knowledge Management (CIKM), pp. 469-475, (2003)
[5]  
Diaz F., Jones R., Using temporal profiles of queries for precision prediction, Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 18-24, (2004)
[6]  
Kanhabua N., N∅rvag K., Determining time of queries for re-ranking search results, Proceedings of the 14th European Conference on Research and Advanced Technology for Digital Libraries (ECDL), pp. 261-272, (2010)
[7]  
Li X., Jin P., Zhao X., Et al., NTLM: A time-enhanced language model based ranking approach for Web search, Proceedings of the WISE 2010 Workshops-WISE 2010 International Symposium WISS, and International Workshops CISE, MBC. LNCS 6724, pp. 156-170, (2010)
[8]  
Campos R., Dias G., Jorge A., Nunes C., GTE: A distributional second-order co-occurrence approach to improve the identification of top relevant dates in Web snippets, Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM), pp. 2035-2039, (2012)
[9]  
Campos R., Jorge A., Dias G., Nunes C., Disambiguating implicit temporal queries by clustering top relevant dates in Web snippets, Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence (WI-IAT), pp. 1-8, (2012)
[10]  
Campos R., Dias G., Jorge A., What is the temporal value of Web snippets, Proceedings of the WWW 2011 Workshop on Linked Data on the Web (TWAW), pp. 9-16, (2011)