| Title | A Context-Aware Recommender System Framework for IoT Based Interactive Digital Signage in Urban Space |
| Publication Type | Conference Paper |
| Year of Publication | 2016 |
| Authors | Tu, Mengru, Chang, Yi-Kuo, Chen, Yi-Tan |
| Conference Name | Proceedings of the Second International Conference on IoT in Urban Space |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-4204-9 |
| Keywords | anonymous messaging, context-aware, Digital Signage, Internet of Things (IoT), pubcrawl, recommender system, Resiliency, scalabilty |
| Abstract | Digital Signage (DS) is one of the popular IoT technologies deployed in the urban space. DS can provide wayfinding and urban information to city dwellers and convey targeted messaging and advertising to people approaching the DS. With the rise of the online-to-offline (O2O) mobile commerce, DS also become an important marketing tool in urban retailing. However, most digital signage systems today lack interactive feature and context-aware recommendation engine. Few interactive digital signage systems available today are also insufficient in engaging anonymous viewers and also not considering temporal interaction between viewer and DS system. To overcome the above challenges, this paper proposes a context-aware recommender system framework with novel temporal interaction scheme for IoT based interactive digital signage deployed in urban space to engage anonymous viewer. The results of experiments indicate that the proposed framework improves the advertising effectiveness for DS system deployed in public in urban space. |
| URL | http://doi.acm.org/10.1145/2962735.2962736 |
| DOI | 10.1145/2962735.2962736 |
| Citation Key | tu_context-aware_2016 |
A Context-Aware Recommender System Framework for IoT Based Interactive Digital Signage in Urban Space