원문정보
초록
영어
Developing information systems that are able to present the content that is most appropriate for the interests of the target audience in public spaces is a very challenging task. However, this is also a central concern for advertisers and content publishers who are continuously trying to find appropriate strategies to get the attention of visitors that are potentially interested in their products or services. In this article, we provide an overview of some of the main challenges associated with this task. We also describe a system that combines information from individual user’s interactions with contextual information to infer the general interests of the visitors to support socially aware content recommendations for individuals and groups in public spaces. Evaluation results from experiments performed in two distinct scenarios indicate that the proposed approach can be used to deliver personal and public content in public spaces and that people recognise its advantages over other traditional information systems used in public spaces.
목차
1. Introduction
2. Related Work
3. Challenges
3.1. Difficulty to Recommend for Groups in Public Spaces
3.2. Inferring Group Interests in Public Spaces
3.3. Balance between Content Publisher Desires and Visitor Interests
3.4. Difficulty to Obtain User Preferences and Feedback
3.5. Which Contextual Information to Use and How to Use It
3.6. Avoid Useless Content
3.7. Protect Users’ Privacy
4. Context Aware Recommendation in Public Spaces
4.1. Individual and Group Recommendations in Public Spaces
4.2. Context and Context-Awareness
5. Presenting Personal and Public Content in Public Spaces
6.1. Experiments
6.2. Results and Discussion
6. Experimental Work and Evaluation
7. Conclusions and Future Work
References