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The Design of Intelligent Application Recommnedation System Framework Based on Context

Duan Hui-chua

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Abstract

It is important to remcommend appropriate applications according to context for end-users in pervasive computing environment.To meet the requirement,intelligent application recommendation system framework based on context is designed in a pervasive computing environment.The framework focuses on reasoning using beyasian network based on context to remcommend applications for end-users,and updating the recommendation model using EM(η) algorithms.Our experiments show that this framework can recommend appropriate applications and be changed with users' preferences.

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What this paper is about

It is important to remcommend appropriate applications according to context for end-users in pervasive computing environment.To meet the requirement,intelligent application recommendation system framework based on context is designed in a pervasive computing environment.The framework focuses on reasoning using beyasian network based on context to remcommend applications for end-users,and updating the recommendation model using EM(η) algorithms.Our experiments show that this framework can recommend appropriate applications and be changed with users' preferences.

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Available abstract

It is important to remcommend appropriate applications according to context for end-users in pervasive computing environment.To meet the requirement,intelligent application recommendation system framework based on context is designed in a pervasive computing environment.The framework focuses on reasoning using beyasian network based on context to remcommend applications for end-users,and updating the recommendation model using EM(η) algorithms.Our experiments show that this framework can recommend appropriate applications and be changed with users' preferences.

Key concepts: Computer science, Context (archaeology), Ubiquitous computing, Context awareness, Recommender system, Human–computer interaction, World Wide Web, Paleontology

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