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» Implicit user modeling for personalized search
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SIGIR
2009
ACM
14 years 2 months ago
Extracting structured information from user queries with semi-supervised conditional random fields
When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
Xiao Li, Ye-Yi Wang, Alex Acero
MM
2004
ACM
149views Multimedia» more  MM 2004»
14 years 1 months ago
Designing experiential environments for management of personal multimedia
With the increasing ubiquity of sensors and computational resources, it is becoming easier and increasingly common for people to electronically record, photographs, text, audio, a...
Rahul Singh, Rachel Knickmeyer, Punit Gupta, Rames...
AMT
2010
Springer
302views Multimedia» more  AMT 2010»
13 years 9 months ago
Social Relation Based Search Refinement: Let Your Friends Help You!
One of the major problems for search at Web scale is that the search results on the large scale data might be huge and the users have to browse to find the most relevant ones. Plus...
Xu Ren, Yi Zeng, Yulin Qin, Ning Zhong, Zhisheng H...
WWW
2011
ACM
13 years 2 months ago
Search result diversity for informational queries
Ambiguous queries constitute a significant fraction of search instances and pose real challenges to web search engines. With current approaches the top results for these queries ...
Michael J. Welch, Junghoo Cho, Christopher Olston
DMIN
2007
183views Data Mining» more  DMIN 2007»
13 years 9 months ago
Crawling Attacks Against Web-based Recommender Systems
—User profiles derived from Web navigation data are used in important e-commerce applications such as Web personalization, recommender systems, and Web analytics. In the open en...
Runa Bhaumik, Robin D. Burke, Bamshad Mobasher