… /or re-weighting the terms. When new terms are added to the … scheme for term features in
the document classification process … Figures 1 and 2 show querywise difference in MAP and …

… , we reveal how term re-weighting can impact query processing … approach to estimate
document-specific term weights using a … A similar effect has been noted in prior work on selective …

… Our query re-weighting strategy combines the word embeddings according to their inverse
document … [4] use a similar approach to identify related terms. The representation of the …

… term co-occurrence similarity between the original query and the set of feedback documents.
… results can be further improved, as similar studies have shown better results using a local …

… In this paper, we suggested a new hybrid query … semantic similarity measure that assigns
a weight to each term of … Our approach based on QE and term re-weighting methods was …

… the synsets of a query term have meanings similar to the query term, or can … a hyperlink to
the given query term in their main text or body. tf of an initial … Re-weighting expanded terms …

… In this article, we conduct a comparative study on how different term semantic similarity …
-based similarity measure affect document clustering. Term re-weighting of document vector is an …

… help in such cases as re-weighting query terms based on their … is that queries whose term
weights in the documents are widely … semantic similarities between documents and queries. …

… Query-wise comparison of document clustering based FPSOBTW based AQE approach
with FPSOBTW based AQE approach without clustering as baseline for TREC-3 …

… document (eg, Washington DC, River, chromosome), meaning that it can effectively perform
term re-weighting … ment sets and stop training when their difference is larger than four points. …