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ICML
2009
IEEE
16 years 7 months ago
BoltzRank: learning to maximize expected ranking gain
Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...
Maksims Volkovs, Richard S. Zemel
WWW
2009
ACM
16 years 7 months ago
Learning to tag
Social tagging provides valuable and crucial information for large-scale web image retrieval. It is ontology-free and easy to obtain; however, irrelevant tags frequently appear, a...
Lei Wu, Linjun Yang, Nenghai Yu, Xian-Sheng Hua
WWW
2008
ACM
16 years 7 months ago
The locative web
The concept of location has become very popular in many applications on the Web, in particular for those which aim at connecting the real world with resources on the Web. However,...
Erik Wilde, Martin Kofahl
WWW
2005
ACM
16 years 7 months ago
Clustering for probabilistic model estimation for CF
Based on the type of collaborative objects, a collaborative filtering (CF) system falls into one of two categories: item-based CF and user-based CF. Clustering is the basic idea i...
Qing Li, Byeong Man Kim, Sung-Hyon Myaeng
149
Voted
IEEEMSP
2002
IEEE
118views Multimedia» more  IEEEMSP 2002»
15 years 11 months ago
Similarity matching of continuous melody contours for humming querying of melody databases
Music query-by-humming is a challenging problem since the humming query inevitably contains much variation and inaccuracy. Many of the previous methods, which adopt note segmentat...
Yongwei Zhu, Mohan S. Kankanhalli, Qi Tian