Information Systems (TOIS)


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ACM Transactions on Information Systems (TOIS), Volume 28 Issue 2, May 2010

Tuning the capacity of search engines: Load-driven routing and incremental caching to reduce and balance the load
Diego Puppin, Fabrizio Silvestri, Raffaele Perego, Ricardo Baeza-Yates
Article No.: 5
DOI: 10.1145/1740592.1740593

This article introduces an architecture for a document-partitioned search engine, based on a novel approach combining collection selection and load balancing, called load-driven routing. By exploiting the query-vector document model, and...

Exploiting query logs for cross-lingual query suggestions
Wei Gao, Cheng Niu, Jian-Yun Nie, Ming Zhou, Kam-Fai Wong, Hsiao-Wuen Hon
Article No.: 6
DOI: 10.1145/1740592.1740594

Query suggestion aims to suggest relevant queries for a given query, which helps users better specify their information needs. Previous work on query suggestion has been limited to the same language. In this article, we extend it to cross-lingual...

Efficient k-nearest neighbor searching in nonordered discrete data spaces
Dashiell Kolbe, Qiang Zhu, Sakti Pramanik
Article No.: 7
DOI: 10.1145/1740592.1740595

Numerous techniques have been proposed in the past for supporting efficient k-nearest neighbor (k-NN) queries in continuous data spaces. Limited work has been reported in the literature for k-NN queries in a nonordered...

Exploiting neighborhood knowledge for single document summarization and keyphrase extraction
Xiaojun Wan, Jianguo Xiao
Article No.: 8
DOI: 10.1145/1740592.1740596

Document summarization and keyphrase extraction are two related tasks in the IR and NLP fields, and both of them aim at extracting condensed representations from a single text document. Existing methods for single document summarization and...

Effects of position and number of relevant documents retrieved on users' evaluations of system performance
Diane Kelly, Xin Fu, Chirag Shah
Article No.: 9
DOI: 10.1145/1740592.1740597

Information retrieval research has demonstrated that system performance does not always correlate positively with user performance, and that users often assign positive evaluation scores to search systems even when they are unable to complete...