Publication details
A Survey of Multimedia Recommender Systems: Challenges and Opportunities
| Authors | |
|---|---|
| Year of publication | 2017 |
| Type | Article in Periodical |
| Magazine / Source | International Journal of Semantic Computing |
| MU Faculty or unit | |
| Citation | |
| Web | https://www.worldscientific.com/doi/abs/10.1142/S1793351X17500039 |
| Doi | http://dx.doi.org/10.1142/S1793351X17500039 |
| Field | Informatics |
| Keywords | Multimedia recommender system; multimedia objects; research challenges; multimedia recommendations |
| Description | Multimedia information has been extensively growing from a variety of sources such as cameras or video recorders. In order to select the useful multimedia objects, multimedia recommender system has been emerging as a tool to help users choose which multimedia objects might be interesting for them. However, given the complexity of multimedia objects, it is challenging to provide effective multimedia recommendations. In this paper, we therefore conduct a survey in both the multimedia information system and recommender system communities. We further focus on the works that span the two communities, especially the research on multimedia recommender systems. Based on our review, we propose a set of research challenges, which can be used to implicate the future research directions for multimedia recommender systems. For each research challenge, we have also provided the insights of how to perform the follow-up research. |