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| ==== Abstract ==== | ==== Abstract ==== | ||
| With the emergence of Web 2.0, social networks have becoming an integral and important part of our changing social cultural. With the novel transformative ways to connect, collaborate, and create communities on the Web, the phenomenon of cyber social behaviors have emerged that intrigue researchers and practitioners alike. Currently, we have voluminous data collected from web sites, blogs, wikis, clickthrough data, query logs, tags, etc.~from areas such as social networks, social search, social media, social bookmarks, social news, social knowledge sharing, and social games. These data provide a wealth of information available for us to process, analyze, and mine. | With the emergence of Web 2.0, social networks have becoming an integral and important part of our changing social cultural. With the novel transformative ways to connect, collaborate, and create communities on the Web, the phenomenon of cyber social behaviors have emerged that intrigue researchers and practitioners alike. Currently, we have voluminous data collected from web sites, blogs, wikis, clickthrough data, query logs, tags, etc.~from areas such as social networks, social search, social media, social bookmarks, social news, social knowledge sharing, and social games. These data provide a wealth of information available for us to process, analyze, and mine. | ||
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| The tutorial will introduce the matrix factorization framework for social computing. Topics include, but not limited to singular value decomposition, probabilistic matrix factorization, non-negative matrix factorization, etc. will be presented. Moreover, the tutorial will also provide some applications to demonstrate how these techniques can be used in social computing applications. | The tutorial will introduce the matrix factorization framework for social computing. Topics include, but not limited to singular value decomposition, probabilistic matrix factorization, non-negative matrix factorization, etc. will be presented. Moreover, the tutorial will also provide some applications to demonstrate how these techniques can be used in social computing applications. | ||
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| ==== Presentation Materials ==== | ==== Presentation Materials ==== | ||
| + | - [[http://www.cse.cuhk.edu.hk/~king/PUB/CCF ADL 39 on Social Recommendation 2013-King.pdf|Social Recommendation]] | ||
| + | - [[http://www.cse.cuhk.edu.hk/~king/PUB/CCF ADL 39 on Social Recommendation 2013-MF-King.pdf|Matrix Factorization]] | ||
