AXON: A personalized retrieval information system in Arabic texts based on linguistic features

Safi Houssem, J. Maher, Belguith Hadrich Lamia
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引用次数: 4

Abstract

The work presented in this paper aims to develop a system for information retrieval which has the particularity of being adapted to the Arabic language and providing personalized results based on the user's preferences / interests. For this reason, we proposed a query expansion method based on both semantic knowledge from existing ontologies for the Arabic language and information from the users' profiles. The proposed method is interesting for several reasons. Personalized information related to the users' profiles to enrich the query should be considered since it is entirely appropriate and justified to improve traditional IR systems. Moreover, this idea has been little exploited for IR systems in Arabic. In addition, the coupling between information from the user's profiles and that contained in the ontologies is also an original and interesting track to develop. The suggested query expansion method has been implemented and tested on 150 queries for 50 users or 7500 queries of evaluation. The results of this evaluation are promising.
基于语言特征的阿拉伯文文本个性化检索信息系统
本文提出的工作旨在开发一个信息检索系统,该系统具有适应阿拉伯语的特殊性,并根据用户的偏好/兴趣提供个性化的结果。为此,我们提出了一种基于现有阿拉伯语本体语义知识和用户个人资料信息的查询扩展方法。由于几个原因,所提出的方法很有趣。应该考虑与用户配置文件相关的个性化信息,以丰富查询,因为它完全适合并且合理地改进传统IR系统。此外,这个想法很少被用于阿拉伯语的红外系统。此外,来自用户配置文件的信息与本体中包含的信息之间的耦合也是一个值得开发的新颖而有趣的方向。建议的查询扩展方法已经实现并测试了50个用户的150个查询或7500个评估查询。这个评价的结果是有希望的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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