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VIP
2003
13 years 9 months ago
Relevance Feedback for Content-Based Image Retrieval Using Bayesian Network
Relevance feedback is a powerful query modification technique in the field of content-based image retrieval. The key issue in relevance feedback is how to effectively utilize the ...
Jing Xin, Jesse S. Jin
ACMDIS
2008
ACM
13 years 10 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
BTW
2009
Springer
118views Database» more  BTW 2009»
14 years 24 days ago
Easy Tasks Dominate Information Retrieval Evaluation Results
: The evaluation of information retrieval systems involves the creation of potential user needs for which systems try to find relevant documents. The difficulty of these topics dif...
Thomas Mandl
CIKM
2005
Springer
14 years 1 months ago
Implicit user modeling for personalized search
Information retrieval systems (e.g., web search engines) are critical for overcoming information overload. A major deficiency of existing retrieval systems is that they generally...
Xuehua Shen, Bin Tan, ChengXiang Zhai
KDD
2010
ACM
252views Data Mining» more  KDD 2010»
14 years 2 days ago
Fast query execution for retrieval models based on path-constrained random walks
Many recommendation and retrieval tasks can be represented as proximity queries on a labeled directed graph, with typed nodes representing documents, terms, and metadata, and labe...
Ni Lao, William W. Cohen