Web Page Recommendations Based on User Session Graph
作者： K. R. Venugopal , Sejal Santosh Nimbhorkar
DOI: 10.1007/978-981-15-2513-1_8
关键词:
摘要: Web page recommender system provides users with recommendations to assist their navigation and increases the website usability user satisfaction. In this chapter, recommendation method is presented by constructing User Session Graph using sessions from log. The node represents pages weight on edge calculated number of times present in sessions. new problem solved computing co-occurrence value between two terms titles. are recommended based connected nodes graph co-occurred terms. Experiments conducted data collected Microsoft Website www.microsoft.com. proposed compared TermNetWP outperforms higher precision satisfaction values.
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