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» Models in Information Retrieval
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CIKM
2009
Springer
14 years 3 months ago
Learning to rank from Bayesian decision inference
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
Jen-Wei Kuo, Pu-Jen Cheng, Hsin-Min Wang
ICCV
2003
IEEE
14 years 2 months ago
Active Concept Learning for Image Retrieval in Dynamic Databases
Concept learning in content-based image retrieval (CBIR) systems is a challenging task. This paper presents an active concept learning approach based on mixture model to deal with...
Anlei Dong, Bir Bhanu
CIKM
2004
Springer
14 years 2 months ago
Unified filtering by combining collaborative filtering and content-based filtering via mixture model and exponential model
Collaborative filtering and content-based filtering are two types of information filtering techniques. Combining these two techniques can improve the recommendation effectiveness....
Luo Si, Rong Jin
WEBDB
2004
Springer
122views Database» more  WEBDB 2004»
14 years 2 months ago
Querying Bi-level Information
In our research on superimposed information management, we have developed applications where information elements in the superimposed layer serve to annotate, comment, restructure...
Sudarshan Murthy, David Maier, Lois M. L. Delcambr...
SIGIR
2010
ACM
14 years 1 months ago
Discriminative models of integrating document evidence and document-candidate associations for expert search
Generative models such as statistical language modeling have been widely studied in the task of expert search to model the relationship between experts and their expertise indicat...
Yi Fang, Luo Si, Aditya P. Mathur