搜索:个性化搜索结果的代理

2008 Third International Conference on Internet and Web Applications and Services Pub Date : 2008-06-08 DOI:10.1109/ICIW.2008.86

Ivan Marcialis, E. Vita

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引用次数: 17

摘要

用户在浏览会话中的行为是一个有价值的信息来源，有助于分析用户的兴趣和个性化的人机交互在信息搜索任务。本文提出了一种简单的机器学习用户配置文件的方法，并将其用于改进Web搜索。Searchy是嵌入在Web浏览器中的个人代理，能够感知用户的口味，在查询制定阶段提供帮助，最后根据用户的需要对结果进行过滤和排序。Searchy使用DART P2P网络来存储用户的个人资料，以便进行协作推荐。

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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SEARCHY: An Agent to Personalize Search Results

User's behaviour in browsing sessions is a valuable source of information useful to analyze user interests and personalize the human-computer interaction during information seeking tasks. In this paper we present a simple way to machine-learn user profile and employ it to improve Web searches. Searchy is a personal agent, embedded in the Web browser, able to sense user's tastes, to assist her/him during query formulation phase and, finally, to filter and sort the results according to the user's needs. Searchy uses the DART P2P network to store user's profiles in order to enable collaborative recommendations.

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2008 Third International Conference on Internet and Web Applications and Services

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