Recently, mean-variance analysis has been proposed as a novel paradigm to model document ranking in Information Retrieval. The main merit of this approach is that it diversifies t...
Guido Zuccon, Leif Azzopardi, Keith van Rijsbergen
A number of applications require selecting targets for specific contents on the basis of criteria defined by the contents providers rather than selecting documents in response to ...
We describe a mechanism for the generation of lexical paraphrases of queries posed to an Internet resource. These paraphrases are generated using WordNet and part-of-speech inform...
Personalized search is a promising way to better serve different users' information needs. Search history is one of the major information sources for search personalization. ...
We present a novel language-model-based approach to reranking an initially retrieved list so as to improve precision at top ranks. Our model integrates whole-document information ...