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Ontology based user model for personalized agriculture search

机译:基于本体的个性化农业搜索的用户模型

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The paper proposes a user interest model based on user query keywords expanding, using information contained in an ontology for agriculture search engine, so more personalized search results can be returned by search engine with user interest model. Every user interest model for each user contains several sets of concepts, which are expanded from keywords submitted by user in the past period of time based on agricultural category ontology, and pruned based on user browsing behavior to reduce the model size to accelerate the response of search engine. Finally, the approach has been successfully implemented in a module of agriculture search engine SOUNONG1 which helps the system improve the relevance of responses to user queries.
机译:本文提出了一种基于用户查询关键字扩展的用户兴趣模型,使用所包含的农业搜索引擎中包含的信息,因此可以通过用户兴趣模型通过搜索引擎返回更多个性化的搜索结果。 每个用户的每个用户兴趣模型都包含几组概念,这些概念从用户在过去的时间内从用户提交的关键字扩展,并根据用户浏览行为修剪以减少模型大小以加速响应 搜索引擎。 最后,该方法已成功实施在农业搜索引擎Sounong1的模块中,这有助于系统改善对用户查询的响应的相关性。

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