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» Improvement of HITS-based algorithms on web documents
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COLING
2010
14 years 4 months ago
Extracting and Ranking Product Features in Opinion Documents
An important task of opinion mining is to extract people's opinions on features of an entity. For example, the sentence, "I love the GPS function of Motorola Droid"...
Lei Zhang, Bing Liu, Suk Hwan Lim, Eamonn O'Brien-...
WWW
2005
ACM
15 years 10 months ago
Interactive web-wrapper construction for extracting relational information from web documents
In this paper, we propose a new user interface to interactively specify Web wrappers to extract relational information from Web documents. In this study, we focused on improving u...
Tsuyoshi Sugibuchi, Yuzuru Tanaka
SIGIR
2010
ACM
15 years 1 months ago
How good is a span of terms?: exploiting proximity to improve web retrieval
Ranking search results is a fundamental problem in information retrieval. In this paper we explore whether the use of proximity and phrase information can improve web retrieval ac...
Krysta Marie Svore, Pallika H. Kanani, Nazan Khan
SEMCO
2008
IEEE
15 years 3 months ago
Exploiting Semantic Query Context to Improve Search Ranking
One challenge for relevance ranking in Web search is underspecified queries. For such queries, top-ranked documents may contain information irrelevant to the search goal of the us...
Ziming Zhuang, Silviu Cucerzan
ECIR
2006
Springer
14 years 10 months ago
Improving Quality of Search Results Clustering with Approximate Matrix Factorisations
Abstract. In this paper we show how approximate matrix factorisations can be used to organise document summaries returned by a search engine into meaningful thematic categories. We...
Stanislaw Osinski