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WIDM
2005
ACM
16 years 25 days ago
A search result clustering method using informatively named entities
Clustering the results of a search helps the user to overview the information returned. In this paper, we regard the clustering task as indexing the search results. Here, an index...
Hiroyuki Toda, Ryoji Kataoka
WIDM
2004
ACM
16 years 21 days ago
WISE-cluster: clustering e-commerce search engines automatically
In this paper, we propose a new approach to automatically clustering e-commerce search engines (ESEs) on the Web such that ESEs in the same cluster sell similar products. This all...
Qian Peng, Weiyi Meng, Hai He, Clement T. Yu
SIGIR
2010
ACM
15 years 11 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
ICASSP
2010
IEEE
15 years 7 months ago
Multipass strategies for improving accuracy in a voice search application
This paper describes a set of techniques for improving the performance of automated voice search services intended for mobile users accessing these services over a range of portab...
Tianhe Zhang, Richard Rose, Jean Dahan
PR
2008
144views more  PR 2008»
15 years 7 months ago
Regularized query classification using search click information
Hundreds of millions of users each day submit queries to the Web search engine. The user queries are typically very short which makes query understanding a challenging problem. In...
Xiaofei He, Pradhuman Jhala