基于okapi的上下文信息检索平台

Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval Pub Date : 2006-08-06 DOI:10.1145/1148170.1148341

Xiangji Huang, M. Wen, Aijun An, Y. Huang

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引用次数: 16

摘要

基于概率信息检索模型，提出了一个可扩展的基于java的上下文检索平台。Okapi系统中集成了双索引模块、基于盲或机器学习方法的相关反馈模块以及基于上下文的查询扩展模块，以处理上下文信息。该平台允许轻松扩展以包含其他类型的上下文信息。

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A platform for Okapi-based contextual information retrieval

We present an extensible java-based platform for contextual retrieval based on the probabilistic information retrieval model. Modules for dual indexes, relevance feedback with blind or machine learning approaches and query expansion with context are integrated into the Okapi system to deal with the contextual information. This platform allows easy extension to include other types of contextual information.

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Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval

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