ABSTRACT
We present a social image recommender system that offers a hybrid filtering approach, combining content- and knowledge-based filtering with a novel social-based filtering, that selects images of social interest to the user, by e.g. being posted by close friends or family. User activity on social media is used when generating a user profile reflecting user interests and social context, and images are recommended according to a combination of social relevance and topic of interest. Our system handles both cross-source user profiling and image recommendation across social media, currently focusing on images from Facebook and Flickr.
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Index Terms
- Personalized Recommendation of Socially Relevant Images
Recommendations
Personalized hybrid recommendation for group of users
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Personalized recommendation of social software items based on social relations
RecSys '09: Proceedings of the third ACM conference on Recommender systemsWe study personalized recommendation of social software items, including bookmarked web-pages, blog entries, and communities. We focus on recommendations that are derived from the user's social network. Social network information is collected and ...
Multimodal collaborative graph for image recommendation
AbstractRecent works for personalized recommendation typically emphasize their efforts on learning users’ interests from interactions. However, users make decisions depending on multiple factors, especially various attributes of items like appearance, ...
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