User biased document language modelling

Capitalizing on the intuitive underlying assumptions of Language Modelling for Ad-Hoc Retrieval we present a novel approach that is capable of injecting the user’s context of the document collection into the retrieval process. The preliminary findings from the evaluation undertaken suggest that improved IR performance is possible under certain circumstances. This motivates further investigation to determine the extent and significance of this improved performance. Categories and Subject Descriptors I.2.7 [Artificial Intelligence]: Natural Language Processing—Language Models; H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval —Retrieval Models General Terms Experimentation Keywords Information Retrieval, Context, User Biased, Language Model

• Type: Conference
• Year: 2004
• Where: SIGIR
• Authors: Leif Azzopardi, Mark Girolami, Cornelis Joost van Rijsbergen
• Keywords: Ad-hoc Retrieval, Retrieval Process, Retrieval —retrieval Models, SIGIR 2004