LSI meets TREC: a status report
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
Describes the Latent Semantic Indexing approach, an extension of the vector retrieval method and the use of singular-value decomposition applied to the TREC collection.
Abstract
this article as a query, no relevant articles about virtual reality were returned. Now that we have a larger number of hopefully more accurate relevance judgements, we will repeat this basic comparison. We will then use these two baseline runs to explore: a) combining the relevant documents and the original topic; b) selecting only some relevant documents and/or discriminating terms; and c) representing the query vector as several points of interest rather than a single average. 3.2.2 Failure analyses