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
Semantic term matching in axiomatic approaches to information retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Addressing diverse user preferences in SQL-query-result navigation
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
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
DivQ: diversification for keyword search over structured databases
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Selectively diversifying web search results
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Multi-dimensional search result diversification
Proceedings of the fourth ACM international conference on Web search and data mining
An exploration of pattern-based subtopic modeling for search result diversification
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
Probabilistic latent semantic analysis
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Exploiting concept hierarchy for result diversification
Proceedings of the 21st ACM international conference on Information and knowledge management
| Hi-index | 0.00 |
Search result diversification aims to return a list of diversified relevant documents in order to satisfy different user information needs. Most of the efforts focused on Web Search, and few studies have considered another important search domain, i.e., enterprise search. Unlike Web search, enterprise search deals with both unstructured and structured data. In this paper, we propose to integrate the structured and unstructured data to discover meaningful query subtopics in search result diversification. Experimental results show that integrating structured and unstructured information allows us to discover high quality query, which are effective in diversifying the retrieval results.