Mobile Multimedia Recommendation in Smart Communities: A Survey <s> 2) Intelligent User Interfaces and Improving Hybrid <s> Enabling transparent and augmented use of multimedia content across a wide range of networks and devices is still a challenging task within the multimedia research community. Within multimedia frameworks, content adaptation is the core concept to overcome this issue. Most media adaptation engines targeting Universal Multimedia Access (UMA) scale the content w.r.t. terminal capabilities and network resource constraints and do not sufficiently consider user preferences. This paper focuses on a hybrid recommender technique for configuring a cross-modal utility model that guides adaptation of multimedia content. This approach additionally considers the user environment as well as demographic user data which leads to a personalized and increased multimedia experience. Based on a related adaptation decision technique we show how it is possible to offer a personalized adaptation for the individual user. We present a detailed evaluation of the approach based on results earned by subjective tests. <s> BIB001 </s> Mobile Multimedia Recommendation in Smart Communities: A Survey <s> 2) Intelligent User Interfaces and Improving Hybrid <s> With the development of the Mobile Internet, it is possible for people to access their daily portion of news over the Web with various types of terminals connected to it. EagleRadio is a phonic Web news recommendation system which helps users access personalized news via mobile Internet. It reads news via a speech synthesizer to users. We propose a hybrid news recommending strategy considering not only the user's listening history, but also taking the user's neighbors with similar tastes and preferences into account. It can track multiple threads of user's interests and the diversity of recommended news list is also guaranteed. Finally, we evaluate the proposed algorithms and quantify the effect of them from a user's perspective. <s> BIB002
Recommender Techniques Extensive and continuous researches in the area of Intelligent User Interface approaches of mobile multimedia recommender systems have to be conducted to improve mobile multimedia recommendation in smart communities. Some hybrid mobile multimedia recommender systems such as BIB002 - BIB001 can be further improved with standard contextual incorporation and other relevant and appropriate techniques. In cases where a user doesn't get good recommendations through a mobile multimedia hybrid recommender system, additional algorithms for such systems should be developed to satisfy user's recommendation requests through relevant and appropriate techniques.