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95
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WSDM
2010
ACM
210views Data Mining» more  WSDM 2010»
15 years 11 months ago
Towards Recency Ranking in Web Search
In web search, recency ranking refers to ranking documents by relevance which takes freshness into account. In this paper, we propose a retrieval system which automatically detect...
Anlei Dong, Yi Chang, Zhaohui Zheng, Gilad Mishne,...
134
Voted
SIGIR
2004
ACM
15 years 7 months ago
Learning to cluster web search results
Organizing Web search results into clusters facilitates users' quick browsing through search results. Traditional clustering techniques are inadequate since they don't g...
Hua-Jun Zeng, Qi-Cai He, Zheng Chen, Wei-Ying Ma, ...
118
Voted
CIKM
2010
Springer
15 years 13 days ago
Automatically suggesting topics for augmenting text documents
We present a method for automated topic suggestion. Given a plain-text input document, our algorithm produces a ranking of novel topics that could enrich the input document in a m...
Robert West, Doina Precup, Joelle Pineau
157
Voted
CLEF
2011
Springer
14 years 1 months ago
A Language-Independent Approach to Identify the Named Entities in Under-Resourced Languages and Clustering Multilingual Document
Abstract. This paper presents a language-independent Multilingual Document Clustering (MDC) approach on comparable corpora. Named entites (NEs) such as persons, locations, organiza...
N. Kiran Kumar, G. S. K. Santosh, Vasudeva Varma
MIR
2010
ACM
163views Multimedia» more  MIR 2010»
15 years 3 months ago
SNDocRank: a social network-based video search ranking framework
Multimedia ranking algorithms are usually user-neutral and measure the importance and relevance of documents by only using the visual contents and meta-data. However, users’ int...
Liang Gou, Hung-Hsuan Chen, Jung-Hyun Kim, Xiaolon...