Ontology-driven search applications use ontological concepts either to index documents or to guide and understand the users. Since ontologies by nature are domain-dependent and app...
Abstract. We present a framework that assesses relevance with respect to several relevance criteria, by combining the query-dependent and query-independent evidence indicating thes...
In this paper we propose several merging strategies to integrate the result lists of each intermediate run in distributed MLIR. The prediction of retrieval effectiveness was used t...
We describe a method to define and use subwebs, user-defined neighborhoods of the Internet. Subwebs help improve search performance by inducing a topic-specific page relevance ...
Raman Chandrasekar, Harr Chen, Simon Corston-Olive...
Pseudo-relevance feedback has proven to be an effective strategy for improving retrieval accuracy in all retrieval models. However the performance of existing pseudo feedback meth...