Latent Semantic Indexing (LSI) is a well established and effective framework for conceptual information retrieval. In traditional implementations of LSI the semantic structure of...
This paper describes cross-language informationretrieval experiments carried out for TREC-6. Our retrieval method, cross-language latent semantic indexing CL-LSI, is completely ...
Bob Rehder, Michael L. Littman, Susan T. Dumais, T...
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...
Latent Semantic Indexing (LSI) is an effective method to discover the underlying semantic structure of data. It has numerous applications in information retrieval and data mining....