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» Search Engines: Information Retrieval in Practice
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INTR
2010
157views more  INTR 2010»
14 years 8 months ago
Classifying the user intent of web queries using k-means clustering
Purpose – Web search engines are frequently used by people to locate information on the Internet. However, not all queries have an informational goal. Instead of information, so...
Ashish Kathuria, Bernard J. Jansen, Carolyn Hafern...
ACMDIS
2008
ACM
14 years 12 months ago
Evaluating the effectiveness of term frequency histograms for supporting interactive web search tasks
Throughout many of the different types of Web searches people perform, the primary tasks are to first craft a query that effectively captures their information needs, and then eva...
Orland Hoeber, Xue Dong Yang
SIGIR
2010
ACM
15 years 1 months ago
Short text classification in twitter to improve information filtering
In microblogging services such as Twitter, the users may become overwhelmed by the raw data. One solution to this problem is the classification of short text messages. As short te...
Bharath Sriram, Dave Fuhry, Engin Demir, Hakan Fer...
ICMI
2005
Springer
193views Biometrics» more  ICMI 2005»
15 years 3 months ago
Augmenting conversational dialogue by means of latent semantic googling
This paper presents Latent Semantic Googling, a variant of Landauer’s Latent Semantic Indexing that uses the Google search engine to judge the semantic closeness of sets of word...
Robin Senior, Roel Vertegaal
ERCIMDL
2010
Springer
180views Education» more  ERCIMDL 2010»
14 years 7 months ago
SciPlore Xtract: Extracting Titles from Scientific PDF Documents by Analyzing Style Information (Font Size)
Extracting titles from a PDFs full text is an important task in information retrieval to identify PDFs. Existing approaches apply complicated and expensive (in terms of calculating...
Jöran Beel, Bela Gipp, Ammar Shaker, Nick Fri...