Result diversification

This thesis focuses on the generation of highly significant search results for the users, based on diversification, personalization, and recommendation techniques, at the purpose of anticipating diverse and interesting results in the result list.

References:
[1] Rakesh Agrawal, Sreenivas Gollapudi, Alan Halverson, and Samue Ieong. Diversifying search results. In WSDM ’09: Proceedings of the Second ACM International Conference on Web Search and Data Mining, pages 5-14, New York, NY, USA, 2009. ACM.
[2] Paul Clough, Mark Sanderson, Murad Abouammoh, Sergio Navarro, and Monica Paramita. Multiple approaches to analysing query diversity. In SIGIR 09: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, pages 734-735, New York, NY, USA, 2009. ACM.
[3] Sreenivas Gollapudi and Aneesh Sharma. An axiomatic approach for result diversification. In WWW '09: Proceedings of the 18th international conference on World wide web, pages 381-390, New York, NY, USA, 2009. ACM.