个性化信息检索模型框架

F. Gemechu, Yu Zhang, Liu Ting
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引用次数: 7

摘要

现有的搜索引擎忽略用户的搜索上下文,只根据与查询的相关性值返回结果给用户。因此,在检索过程中考虑到实际用户的配置文件的个性化信息检索系统的需求是“强制性的”。本文提出了一种基于用户档案的个性化信息检索模型框架。它将用户档案模块集成到检索过程中,对传统搜索引擎返回的结果进行过滤,使其符合用户的特定需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Framework for Personalized Information Retrieval Model
Existing search engines ignore the user’s search context and return results to the user solely based on their relevance value to the query. Hence, the need for personalized information retrieval system which takes into account the actual user’s profile during the retrieval process is “mandatory.” In this paper, we propose a framework for personalized information retrieval model using user profiles. It incorporates the user profile module into the retrieval process to filter results returned by traditional search engine so that they meet the specific needs of the user.
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