Sampling search-engine results
WWW '05 Proceedings of the 14th international conference on World Wide Web
Proceedings of the Second ACM International Conference on Web Search and Data Mining
From "Dango" to "Japanese Cakes": Query Reformulation Models and Patterns
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Exploiting query reformulations for web search result diversification
Proceedings of the 19th international conference on World wide web
Mining Query Logs: Turning Search Usage Data into Knowledge
Foundations and Trends in Information Retrieval
Efficient diversification of web search results
Proceedings of the VLDB Endowment
New approaches to diversity and novelty in recommender systems
FDIA'11 Proceedings of the Fourth BCS-IRSG conference on Future Directions in Information Access
| Hi-index | 0.00 |
We study the problem of diversifying search results by exploiting the knowledge mined from query logs. Our proposal exploits the presence of different "specializations" of queries in query logs to detect the submission of ambiguous/faceted queries, and manage them by diversifying the search results returned in order to cover the different possible interpretations of the query. We present an original formulation of the results diversification problem in terms of an objective function to be maximized that admits the finding of an optimal solution in linear time.