A proactive personalised mobile recommendation system using analytic hierarchy process and Bayesian network

Keyphrases

• Analytic Hierarchy Process 100%
• Bayesian Network 100%
• Process Networks 100%
• Contextual Information 100%
• Mobile Recommendation Systems 100%
• Mobile Devices 66%
• Recommendation Service 66%
• Group-based 33%
• Mobile Users 33%
• Access to Information 33%
• Usage Patterns 33%
• Recommendation System 33%
• Mobile Environment 33%
• Inconvenience 33%
• User Activity 33%
• Wireless Technology 33%
• Process-based 33%
• Current Recommendations 33%
• Context-aware Applications 33%
• Context-aware Recommendation 33%
• Individual-based 33%
• Internet Browsing 33%
• Ranking Approach 33%
• Cold-start Problem 33%
• News Recommendation 33%
• Hybrid P2P 33%
• Just-in-time Information 33%
• Context-aware Framework 33%
• Bayesian Network Algorithm 33%
• Activity Location 33%
• User Needs 33%
• Information Services 33%
• Information Overload 33%
• Multi-criteria Evaluation 33%

Computer Science

• Process Network 100%
• Bayesian Networks 100%
• Analytic Hierarchy Process 100%
• Service Recommendation 66%
• Contextual Information 66%
• Mobile Device 66%
• Mobile Environment 33%
• Wireless Technologies 33%
• Potential Solution 33%
• context aware application 33%
• Network Algorithm 33%
• Cold Start Problem 33%
• Time Information 33%
• Just-in-Time 33%
• Evaluation Study 33%
• Information Service 33%