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ACM Transactions on Information Systems (TOIS), Volume 29 Issue 2, April 2011

Diagnostic Evaluation of Information Retrieval Models
Hui Fang, Tao Tao, Chengxiang Zhai
Article No.: 7
DOI: 10.1145/1961209.1961210

Developing effective retrieval models is a long-standing central challenge in information retrieval research. In order to develop more effective models, it is necessary to understand the deficiencies of the current retrieval models and the...

Concept-Based Information Retrieval Using Explicit Semantic Analysis
Ofer Egozi, Shaul Markovitch, Evgeniy Gabrilovich
Article No.: 8
DOI: 10.1145/1961209.1961211

Information retrieval systems traditionally rely on textual keywords to index and retrieve documents. Keyword-based retrieval may return inaccurate and incomplete results when different keywords are used to describe the same concept in the...

Improving Recommender Systems by Incorporating Social Contextual Information
Hao Ma, Tom Chao Zhou, Michael R. Lyu, Irwin King
Article No.: 9
DOI: 10.1145/1961209.1961212

Due to their potential commercial value and the associated great research challenges, recommender systems have been extensively studied by both academia and industry recently. However, the data sparsity problem of the involved user-item...

Contextual Video Recommendation by Multimodal Relevance and User Feedback
Tao Mei, Bo Yang, Xian-Sheng Hua, Shipeng Li
Article No.: 10
DOI: 10.1145/1961209.1961213

With Internet delivery of video content surging to an unprecedented level, video recommendation, which suggests relevant videos to targeted users according to their historical and current viewings or preferences, has become one of most pervasive...

Effects of Usage-Based Feedback on Video Retrieval: A Simulation-Based Study
David Vallet, Frank Hopfgartner, Joemon M. Jose, Pablo Castells
Article No.: 11
DOI: 10.1145/1961209.1961214

We present a model for exploiting community-based usage information for video retrieval, where implicit usage information from past users is exploited in order to provide enhanced assistance in video retrieval tasks, and alleviate the effects of...

Identifying, Indexing, and Ranking Chemical Formulae and Chemical Names in Digital Documents
Bingjun Sun, Prasenjit Mitra, C. Lee Giles, Karl T. Mueller
Article No.: 12
DOI: 10.1145/1961209.1961215

End-users utilize chemical search engines to search for chemical formulae and chemical names. Chemical search engines identify and index chemical formulae and chemical names appearing in text documents to support efficient search and retrieval in...