@inproceedings{694e705bc43d44948f7c6a31a71efcb5,
title = "Adaptive weighting approach to context-sensitive retrieval model",
abstract = "To best exploit the context information for meaningful hints to the user's intent, this paper proposes an adaptive weighting approach to improve the current context-sensitive retrieval model. The potential for adaptability is first investigated as the performance gap between the current context-sensitive models with a fixed form weight and those with adaptive weights for contextual information. Then the proper context weight is predicated according to the relation strength between the query and its context. The experimental results on a public available dataset indicate that the proposed approach outperforms three baseline methods.",
keywords = "Context, Information retrieval, Interaction data",
author = "Xiaochun Wang and Muyun Yang and Haoliang Qi and Sheng Li and Tiejun Zhao",
year = "2012",
doi = "10.1007/978-3-642-35341-3\_37",
language = "英语",
isbn = "9783642353406",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "417--426",
booktitle = "Information Retrieval Technology - 8th Asia Information Retrieval Societies Conference, AIRS 2012, Proceedings",
note = "8th Asia Information Retrieval Societies Conference, AIRS 2012 ; Conference date: 17-12-2012 Through 19-12-2012",
}