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[ACM Press the 34th international ACM SIGIR conference - Beijing, China (2011.07.24-2011.07.28)] Proceedings of the 34th international ACM SIGIR conference on Research and development in Information - SIGIR '11 - A large scale machine learning system for recommending heterogeneous content in social networks

โœ Scribed by Shi, Yanxin; Ye, David; Goder, Andrey; Narayanan, Srinivas

Book ID
126491587
Publisher
ACM Press
Year
2011
Weight
356 KB
Category
Article
ISBN
1450307574

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[ACM Press the 34th international ACM SI
[ACM Press the 34th international ACM SIGIR conference - Beijing, China (2011.07.24-2011.07.28)] Proceedings of the 34th international ACM SIGIR conference on Research and development in Information - SIGIR '11 - A large scale machine learning system for recommending heterogeneous content in social networks
โœ Shi, Yanxin; Ye, David; Goder, Andrey; Narayanan, Srinivas ๐Ÿ“‚ Article ๐Ÿ“… 2011 ๐Ÿ› ACM Press โš– 356 KB

The goal of the Facebook recommendation engine is to compare and rank heterogeneous types of content in order to find the most relevant recommendations based on user preference and page context. The challenges for such a recommendation engine include several aspects: 1) the online queries being proc