In this paper, we report our approach to retrieve patent documents based on the prior art. We use the standard Information Retrieval (IR) techniques which contain indexing and retr...
Information Retrieval (IR) systems try to identify documents relevant to user queries, which are representations of user information needs. Interaction, context, and document struc...
In this paper, we propose an information retrieval model called Latent Interest Semantic Map (LISM), which features retrieval composed of both Collaborative Filtering(CF) and Prob...
Generating query-biased summaries can take up a large part of the response time of interactive information retrieval (IIR) systems. This paper proposes to use document titles as a...
Structured documents contain elements defined by the author(s) and annotations assigned by other people or processes. Structured documents pose challenges for probabilistic retrie...