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» Learning Models for Ranking Aggregates
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131
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WWW
2011
ACM
14 years 7 months ago
Learning to re-rank: query-dependent image re-ranking using click data
Our objective is to improve the performance of keyword based image search engines by re-ranking their baseline results. To this end, we address three limitations of existing searc...
Vidit Jain, Manik Varma
128
Voted
WWW
2011
ACM
14 years 7 months ago
A demo search engine for products
Most product search engines today build on models of relevance devised for information retrieval. However, the decision mechanism that underlies the process of buying a product is...
Beibei Li, Anindya Ghose, Panagiotis G. Ipeirotis
132
Voted
SDM
2007
SIAM
187views Data Mining» more  SDM 2007»
15 years 2 months ago
Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning
Topic modeling techniques have widespread use in text data mining applications. Some applications use batch models, which perform clustering on the document collection in aggregat...
Arindam Banerjee, Sugato Basu
77
Voted
EMNLP
2007
15 years 2 months ago
Incremental Text Structuring with Online Hierarchical Ranking
Many emerging applications require documents to be repeatedly updated. Such documents include newsfeeds, webpages, and shared community resources such as Wikipedia. In this paper ...
Erdong Chen, Benjamin Snyder, Regina Barzilay
98
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KDD
2005
ACM
177views Data Mining» more  KDD 2005»
15 years 6 months ago
Combining partitions by probabilistic label aggregation
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Tilman Lange, Joachim M. Buhmann