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数据融合在搜索结果多元化上的应用 被引量：4

Search result diversification via data fusion
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摘要 信息检索系统不仅需要考虑文档的相关性,还要考虑文档的多样性和新颖性。针对信息检索结果的多元化问题,探讨了数据融合方法在搜索结果多元化上的适用性。针对线性组合方法,重新考察了成员系统的权重分配策略。通过考虑成员检索系统的有效性和成员检索系统之间的差异性,提出了一种比较简单方便的基于集合覆盖率的方法,使得采用这种权重分配方式的线性组合方法在结果的多样性上能够有所改善。实验采用了3组来自于TREC文本检索会议的针对Web检索多样化任务的数据,实验结果表明在多样性方面,所提出的数据融合方法均能提高检索结果的性能,优于最佳的成员检索系统。 Information retrieval systems need to consider both aspects of relevance and diversity for those retrieved documents. To solve the problem of search result diversification,a different perspective was adopted to solve the problem based on a discussion of the application of data fusion method in the search result diversification. Especially for the linear combination method,the weight allocation strategy for component systems was reexamined. Both the effectiveness of component retrieval systems and the dissimilarity of them were concerned,and a simple and convenient method for calculating the dissimilarity was put forward,based on set covering rate. Thereby a linear combination method with such weighting assignment can improve the performance of results in the diversity. Experiments were carried out with 3groups of top-ranked results submitted to the TREC web diversity task. The result of experiments shows that data fusion is still a useful approach to performance improvement for diversity as for relevance previously.
作者 黄春兰 吴胜利
机构地区 江苏大学计算机科学与通信工程学院
出处 《山东大学学报（理学版）》 CAS CSCD 北大核心 2015年第1期31-36,共6页 Journal of Shandong University(Natural Science)
基金 江苏特聘教授项目(1221170037 1221170038) 江苏大学特聘教授启动基金资助项目(1281170024 1281170025)
关键词 数据融合 检索结果多元化 线性组合 权重分配 data fusion search result diversification linear combination weight assignment
分类号 TP391 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献20

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  • 2CARBONELL J, GOLDSTEIN J. The use of MMR, di- versity-based re-ranking for reordering documents and producing summaries [ C ]// Proceedings of the 21 st An- nual International ACM SIGIR Conference on Research and Development in Information Retrieval. New York: ACM, 1998: 335-336.
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  • 4ZHAI Chengxiang, COHEN William W, LAFFERTY J. Beyond independent relevance: methods and evaluation metrics for subtopic retrieval [ C ]// Proceedings of the 26th Annual International ACM SIGIR Conference on Re- search and Development in Information Retrieval. New York: ACM, 2003: 10-17.
  • 5DANG Van, CROFT W B. Diversity by proportionality: an election-based approach to search result diversification [ C]// Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval. New York: ACM, 2012: 65-74.
  • 6SANTOS R L T, MACDONALD C, OUNIS I. Exploi- ting query reformulations for web search result diversifica- tionl[ C]// Proceedings of the 19th International Confer- ence on World Wide Web. New York: ACM, 2010: 881-890.
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同被引文献31

  • 1Agrawal R, Gollapudi S, Halverson A,et al. Diversifying Search Results [ C ]//Proceedings of the 2rd ACM Inter- national Conference on Web Search and Data Mining. New York, USA : ACM Press, 2009 5-14.
  • 2Santos R L T, Peng Jie, Macdonald C, et al. Explicit Search Result Diversification Through Sub-queries [ C l// Proceedings of the 32nd European Conference on Advances in Information Retrieval. Berlin, Germany : Springer-Verlag, 2010:87-99.
  • 3Chapelle O, Ji Shihao, Liao Ciya, et al. Intent-based Diversification of Web Search Results: Metrics and Algorithms [J] Information Retrieval, 2011,14 ( 6 ) : 572- 592.
  • 4Carterette B. An Analysis of NP-completeness in Novelty and Diversity Ranking [J ]. Information Retrieval, 2011, 14(1) :89-106.
  • 5Deng Ting, Fan Wenfei. On the Complexity of Query Result Diversification [ J ]. Proceedings of the VLDB Endowment,2013,6 ( 2 ) :577-588.
  • 6Santos R L T,Macdonald C, Ounis I. Exploiting Query Reformulations for Web Search Result Diversifica- tion [ C ]//Proceedings of the 19th International Conference on World Wide Web. New York, USA: ACM Press, 2010 : 881-890.
  • 7Kharazmi S, Sanderson M, Scholer F, et al. Using Score Differences for Search Result Diversification [ C ]// Proceedings of the 37th International ACM SIGIR Conference on Research & Development in Information Retrieval. New York, USA: ACM Press, 2014: 1143- 1146.
  • 8Carbonell J, Goldstein J. The Use of MMR, Diversity- based Reranking for Reordering Documents and Produc- ing Summaries [C]//Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. New York,USA: ACM Press, 1998 : 335-336.
  • 9Zhai C X,Cohen W W, Lafferty J. Beyond Independent Relevance:Methods and Evaluation Metrics for Subtopic Retrieval[ C ]//Proceedings of the 26th Annual Inter- national ACM SIGIR Conference on Research and Development in Information Retrieval. New York, USA: ACM Press ,2003 : 10-17.
  • 10Yu H T, Ren F. Search Result Diversification via Fillingup Multiple Knapsacks [ C] //Proceedings of the 23rd ACM International Conference on Information and Knowledge Management. New York, USA : ACM Press, 2014:609-618.

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山东大学学报（理学版）
2015年 第1期

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