๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

[ACM Press the sixth ACM conference - Dublin, Ireland (2012.09.09-2012.09.13)] Proceedings of the sixth ACM conference on Recommender systems - RecSys '12 - Real-time top-n recommendation in social streams

โœ Scribed by Diaz-Aviles, Ernesto; Drumond, Lucas; Schmidt-Thieme, Lars; Nejdl, Wolfgang

Book ID
127065930
Publisher
ACM Press
Year
2012
Weight
911 KB
Category
Article
ISBN
1450312705

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

[ACM Press the sixth ACM conference - Du
[ACM Press the sixth ACM conference - Dublin, Ireland (2012.09.09-2012.09.13)] Proceedings of the sixth ACM conference on Recommender systems - RecSys '12 - Real-time top-n recommendation in social streams
โœ Diaz-Aviles, Ernesto; Drumond, Lucas; Schmidt-Thieme, Lars; Nejdl, Wolfgang ๐Ÿ“‚ Article ๐Ÿ“… 2012 ๐Ÿ› ACM Press โš– 911 KB

The Social Web is successfully established, and steadily growing in terms of users, content and services. People generate and consume data in real-time within social networking services, such as Twitter, and increasingly rely upon continuous streams of messages for real-time access to fresh knowledg

[ACM Press the sixth ACM conference - Du
[ACM Press the sixth ACM conference - Dublin, Ireland (2012.09.09-2012.09.13)] Proceedings of the sixth ACM conference on Recommender systems - RecSys '12 - On top-k recommendation using social networks
โœ Yang, Xiwang; Steck, Harald; Guo, Yang; Liu, Yong ๐Ÿ“‚ Article ๐Ÿ“… 2012 ๐Ÿ› ACM Press โš– 488 KB

Recommendation accuracy can be improved by incorporating trust relationships derived from social networks. Most recent work on social network based recommendation is focused on minimizing the root mean square error (RMSE). Social network based top-k recommendation, which recommends to a user a small

[ACM Press the sixth ACM conference - Du
[ACM Press the sixth ACM conference - Dublin, Ireland (2012.09.09-2012.09.13)] Proceedings of the sixth ACM conference on Recommender systems - RecSys '12 - The challenge of recommender systems challenges
โœ Said, Alan; Tikk, Domonkos; Hotho, Andreas ๐Ÿ“‚ Article ๐Ÿ“… 2012 ๐Ÿ› ACM Press โš– 411 KB

Recommender System Challenges such as the Netflix Prize, KDD Cup, etc. have contributed vastly to the development and adoptability of recommender systems. Each year a number of challenges or contests are organized covering different aspects of recommendation. In this tutorial and panel, we present s