Mobile recommendations based on interest prediction from consumer's installed apps–insights from a large-scale field study

作者：

Highlights：

• The app installation logs are a good predictor for interests and gender.

• The first evaluation of interests prediction shows a 49% better precision.

• The click-through-rate is more than doubling in a mobile recommender system.

摘要

•The app installation logs are a good predictor for interests and gender.•The first evaluation of interests prediction shows a 49% better precision.•The click-through-rate is more than doubling in a mobile recommender system.

论文关键词：Mobile recommender system,User profiling,Personalization,M-commerce,Click-through rate

论文评审过程：Received 14 July 2017, Revised 12 August 2017, Accepted 15 August 2017, Available online 17 August 2017, Version of Record 23 August 2017.

论文官网地址：https://doi.org/10.1016/j.is.2017.08.006