Social networking meets recommender systems: survey
- Publisher:
- Inderscience
- Publication Type:
- Journal Article
- Citation:
- International Journal of Social Network Mining, 2015, 2 (1), pp. 64 - 100
- Issue Date:
- 2015
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| Filename | Description | Size | |||
|---|---|---|---|---|---|
 | IJSNM 2015.pdf | Published Version | 1.06 MB |
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Today, the emergence of web-based communities and hosted services such as social networking sites, wikis and folksonomies, brings in tremendous freedom of web autonomy and facilitate collaboration and knowledge sharing between users. Along with the interaction between users and computers, social media is rapidly becoming an important part of our digital experience, ranging from digital textual information to diverse multimedia forms. These aspects and characteristics constitute of the core of second generation of web. Social networking (SN) and recommender system (RS) are two hot and popular topics in the current Web 2.0 era, where the former emphasises the generation, dissemination and evolution of user relations, and the latter focuses on the use of collective preferences of users so as to provide the better experience and loyalty of users in various web applications. Leveraging user social connections is able to alleviate the common problems of sparsity and cold-start encountered in RS. This paper aims to summarise the research progresses and findings in these two areas and showcase the empowerment of integrating these two kinds of research strengths.
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