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ACM Transactions on Information Systems (TOIS), Volume 30 Issue 4, November 2012

An Online Learning Framework for Refining Recency Search Results with User Click Feedback
Taesup Moon, Wei Chu, Lihong Li, Zhaohui Zheng, Yi Chang
Article No.: 20
DOI: 10.1145/2382438.2382439

Traditional machine-learned ranking systems for Web search are often trained to capture stationary relevance of documents to queries, which have limited ability to track nonstationary user intention in a timely manner. In recency search, for...

Detecting and Tracking Topics and Events from Web Search Logs
Hongyan Liu, Jun He, Yingqin Gu, Hui Xiong, Xiaoyong Du
Article No.: 21
DOI: 10.1145/2382438.2382440

Recent years have witnessed increased efforts on detecting topics and events from Web search logs, since this kind of data not only capture web content but also reflect the users’ activities. However, the majority of existing work is focused...

Detecting Fake Medical Web Sites Using Recursive Trust Labeling
Ahmed Abbasi, Fatemeh “Mariam” Zahedi, Siddharth Kaza
Article No.: 22
DOI: 10.1145/2382438.2382441

Fake medical Web sites have become increasingly prevalent. Consequently, much of the health-related information and advice available online is inaccurate and/or misleading. Scores of medical institution Web sites are for organizations that do not...

Stability of Recommendation Algorithms
Gediminas Adomavicius, Jingjing Zhang
Article No.: 23
DOI: 10.1145/2382438.2382442

The article explores stability as a new measure of recommender systems performance. Stability is defined to measure the extent to which a recommendation algorithm provides predictions that are consistent with each other. Specifically, for a stable...

Sentimental Spidering: Leveraging Opinion Information in Focused Crawlers
Tianjun Fu, Ahmed Abbasi, Daniel Zeng, Hsinchun Chen
Article No.: 24
DOI: 10.1145/2382438.2382443

Despite the increased prevalence of sentiment-related information on the Web, there has been limited work on focused crawlers capable of effectively collecting not only topic-relevant but also sentiment-relevant content. In this article, we...

Efficient Entity Translation Mining: A Parallelized Graph Alignment Approach
Gae-Won You, Seung-Won Hwang, Young-In Song, Long Jiang, Zaiqing Nie
Article No.: 25
DOI: 10.1145/2382438.2382444

This article studies the problem of mining entity translation, specifically, mining English and Chinese name pairs. Existing efforts can be categorized into (a) transliteration-based approaches that leverage phonetic similarity and (b)...

Aggregation Methods for Proximity-Based Opinion Retrieval
Shima Gerani, Mark Carman, Fabio Crestani
Article No.: 26
DOI: 10.1145/2382438.2382445

The enormous amount of user-generated data available on the Web provides a great opportunity to understand, analyze, and exploit people’s opinions on different topics. Traditional Information Retrieval methods consider the relevance of...

TOIS Reviewers: October 2009 To September 2012
Jamie Callan
Article No.: 27
DOI: 10.1145/2382438.2382446