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135
Voted
WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
13 years 8 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...
105
Voted
LREC
2008
155views Education» more  LREC 2008»
15 years 2 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
98
Voted
ESWS
2008
Springer
15 years 2 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
99
Voted
WWW
2009
ACM
16 years 1 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
15 years 4 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...