A new unified Probabilistic model

被引:8
作者
Bodoff, D
Robertson, S
机构
[1] Hong Kong Univ Sci & Technol, ISMT Dept, Hong Kong, Hong Kong, Peoples R China
[2] Microsoft Res Cambridge, Cambridge CB3 0FB, England
来源
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY | 2004年 / 55卷 / 06期
关键词
D O I
10.1002/asi.10398
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes a new unified probabilistic model. Two previous models, Robertson et al.'s "Model 0" and "Model 3," each have strengths and weaknesses. The strength of Model 0 not found in Model 3, is that it does not require relevance data about the particular document or query, and, related to that, its probability estimates are straightforward. The strength of Model 3 not found in Model 0 is that it can utilize feedback information about the particular document and query in question. In this paper we introduce a new unified probabilistic model that combines these strengths: the expression of its probabilities is straightforward, it does not require that data must be available for the particular document or query in question, but it can utilize such specific data if it is available. The model is one way to resolve the difficulty of combining two marginal views in probabilistic retrieval.
引用
收藏
页码:471 / 487
页数:17
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