Recommender systems for mobile content: Current challenges and ways forward

Abstract

Cellular data services have benefited recently from enhancements in access speed, delay, and other parameters generally associated with quality-of-service (QoS). However, end users still often have trouble discovering appropriate content due to fractured and non-intuitive approaches to content discovery. One possible means of addressing this problem is the use of recommender systems to personalize content for cellular data users. Recommender systems have an established role in internet content discovery, but their applications in wireless are not straightforward. This paper discusses the critical challenges in implementing recommender systems for content in cellular systems, and also proposes methods for deployment of such systems so as to improve content discovery.