A study of smoothing methods for language models applied to Ad Hoc information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Challenges in enterprise search
ADC '04 Proceedings of the 15th Australasian database conference - Volume 27
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Probabilistic models of ranking novel documents for faceted topic retrieval
Proceedings of the 18th ACM conference on Information and knowledge management
Exploiting query reformulations for web search result diversification
Proceedings of the 19th international conference on World wide web
Selectively diversifying web search results
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Search result diversification for enterprise data
Proceedings of the 20th ACM international conference on Information and knowledge management
Explicit search result diversification through sub-queries
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Coverage-based search result diversification
Information Retrieval
One size does not fit all: multi-granularity search of web forums
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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The goal of result diversification is to maximize the coverage of query subtopics while minimizing the redundancy in the search results. Intuitively, it is more desirable for a diversification system to cover independent subtopics since it would retrieve sets of non-overlapped relevant documents, which leads to less redundancy in the search results. Unfortunately, existing diversification methods assume that query subtopics are independent and ignore their relations in the diversification process. To overcome this limitation, we propose to exploit concept hierarchies to extract query subtopics and infer their relations. We then apply axiomatic approaches to derive a structural diversification method that can leverage the subtopic relations in result diversification. Experimental results over an enterprise collection show that the relations among query subtopics are useful to improve the diversification performance.