Combining community-based knowledge with association rule mining to alleviate the cold start problem in context-aware recommender systems

Iosif Viktoratos, Athanasios Tsadiras, Nick Bassiliades

Abstract: Highlights•Provides a hybrid methodology for alleviating the cold start.•Evaluates some of the most well-known probability metrics for scoring rules.•Develops a novel scoring function for ranking rules.•Exploits semantic web advantages (e.g. reusability, interoperability, etc.)•A qualitative rule set which can be used by other services is created.