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 Amruta Joshi

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Bibliometrics: publication history
Average citations per article26.50
Citation Count106
Publication count4
Publication years2007-2011
Available for download3
Average downloads per article851.67
Downloads (cumulative)2,555
Downloads (12 Months)47
Downloads (6 Weeks)7
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4 results found Export Results: bibtexendnoteacmrefcsv

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1
January 2011
Bibliometrics:
Citation Count: 0

With the rise in the popularity of the Web, more and more users are spending time online. Even though a lot of data is created and consumed by users, we often have limited understanding of how to interpret this data. One of the major challenges in web information retrieval is ...

2 published by ACM
April 2009 ACM Transactions on the Web (TWEB): Volume 3 Issue 2, April 2009
Publisher: ACM
Bibliometrics:
Citation Count: 16
Downloads (6 Weeks): 2,   Downloads (12 Months): 11,   Downloads (Overall): 1,063

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We propose a methodology for building a robust query classification system that can identify thousands of query classes, while dealing in real time with the query volume of a commercial Web search engine. We use a pseudo relevance feedback technique: given a query, we determine its topic by classifying the ...
Keywords: Pseudo relevance feedback, Web search, query classification

3 published by ACM
July 2007 SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Publisher: ACM
Bibliometrics:
Citation Count: 84
Downloads (6 Weeks): 4,   Downloads (12 Months): 31,   Downloads (Overall): 1,295

Full text available: PDFPDF
We propose a methodology for building a practical robust query classification system that can identify thousands of query classes with reasonable accuracy, while dealing in real-time with the query volume of a commercial web search engine. We use a blind feedback technique: given a query, we determine its topic by ...
Keywords: web search, blind relevance feedback, query classification

4 published by ACM
May 2007 WWW '07: Proceedings of the 16th international conference on World Wide Web
Publisher: ACM
Bibliometrics:
Citation Count: 6
Downloads (6 Weeks): 1,   Downloads (12 Months): 3,   Downloads (Overall): 195

Full text available: PDFPDF
We present a family of measures of proximity of an arbitrary node in a directed graph to a pre-specified subset of nodes, called the anchor . Our measures are based on three different propagation schemesand two different uses of the connectivity structure of the graph. We consider a web-specific application ...
Keywords: proximity, harmonic rank, link propagation



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