Scrutinizing Mobile App Recommendation: Identifying Important App-Related Indicators [chapter]

Jovian Lin, Kazunari Sugiyama, Min-Yen Kan, Tat-Seng Chua
2016 Lecture Notes in Computer Science  
Among several traditional and novel mobile app recommender techniques that utilize a diverse set of app-related features (such as an app's Twitter followers, various version instances, etc.), which apprelated features are the most important indicators for app recommendation? In this paper, we develop a hybrid app recommender framework that integrates a variety of app-related features and recommendation techniques, and then identify the most important indicators for the app recommendation task.
more » ... ur results reveal an interesting correlation with data from third-party app analytics companies; and suggest that, in the context of mobile app recommendation, more focus could be placed in user and trend analysis via social networks.
doi:10.1007/978-3-319-48051-0_15 fatcat:ltuwv4tm5ve2ppgkm3lnmc23wq