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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
12 years 3 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
LREC
2008
155views Education» more  LREC 2008»
13 years 9 months ago
L-ISA: Learning Domain Specific Isa-Relations from the Web
Automated extraction of ontological knowledge from text corpora is a relevant task in Natural Language Processing. In this paper, we focus on the problem of finding hypernyms for ...
Alessandra Potrich, Emanuele Pianta
ESWS
2008
Springer
13 years 9 months ago
Combining Fact and Document Retrieval with Spreading Activation for Semantic Desktop Search
Abstract. The Semantic Desktop is a means to support users in Personal Information Management (PIM). It provides an excellent test bed for Semantic Web technology: resources (e. g....
Kinga Schumacher, Michael Sintek, Leo Sauermann
WWW
2009
ACM
14 years 8 months ago
Interactive search in XML data
In a traditional keyword-search system in XML data, a user composes a keyword query, submits it to the system, and retrieves relevant subtrees. In the case where the user has limi...
Guoliang Li, Jianhua Feng, Lizhu Zhou
WWW
2010
ACM
13 years 11 months ago
Time is of the essence: improving recency ranking using Twitter data
Realtime web search refers to the retrieval of very fresh content which is in high demand. An effective portal web search engine must support a variety of search needs, including ...
Anlei Dong, Ruiqiang Zhang, Pranam Kolari, Jing Ba...