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WSDM
2009
ACM
125views Data Mining» more  WSDM 2009»
14 years 1 months ago
Less is more: sampling the neighborhood graph makes SALSA better and faster
In this paper, we attempt to improve the effectiveness and the efficiency of query-dependent link-based ranking algorithms such as HITS, MAX and SALSA. All these ranking algorith...
Marc Najork, Sreenivas Gollapudi, Rina Panigrahy
WSDM
2009
ACM
112views Data Mining» more  WSDM 2009»
14 years 1 months ago
Finding text reuse on the web
With the overwhelming number of reports on similar events originating from different sources on the web, it is often hard, using existing web search paradigms, to find the origi...
Michael Bendersky, W. Bruce Croft
WSDM
2009
ACM
113views Data Mining» more  WSDM 2009»
14 years 1 months ago
Time Will Tell: Leveraging Temporal Expressions in IR
Temporal expressions, such as between 1992 and 2000, are frequent across many kinds of documents. Text retrieval, though, treats them as common terms, thus ignoring their inherent...
Irem Arikan, Srikanta J. Bedathur, Klaus Berberich
WSDM
2009
ACM
148views Data Mining» more  WSDM 2009»
14 years 1 months ago
Information arbitrage across multi-lingual Wikipedia
The rapid globalization of Wikipedia is generating a parallel, multi-lingual corpus of unprecedented scale. Pages for the same topic in many different languages emerge both as a r...
Eytan Adar, Michael Skinner, Daniel S. Weld
WSDM
2009
ACM
131views Data Mining» more  WSDM 2009»
14 years 1 months ago
Diversifying search results
We study the problem of answering ambiguous web queries in a setting where there exists a taxonomy of information, and that both queries and documents may belong to more than one ...
Rakesh Agrawal, Sreenivas Gollapudi, Alan Halverso...