TAILIEUCHUNG - Social media based recommender systems: A review of architectures and limitations

The synergy between social media data and recommendation systems is therefore of outmost importance and calls for a need to conduct an in-depth survey of several emerging social-media based recommender systems. Investigating recommendation systems based on dataset from social networks such as dataset from social media such Netflix, Facebook, Twitter, Epinions, Flixster, Amazon, Sina Weibo, Jingdong, among few others, collaborative filtering was realized to be the main approach of many authors. | Social media based recommender systems A review of architectures and limitations

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