Fab: content-based, collaborative recommendation
Communications of the ACM
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Content-boosted collaborative filtering for improved recommendations
Eighteenth national conference on Artificial intelligence
Google news personalization: scalable online collaborative filtering
Proceedings of the 16th international conference on World Wide Web
Recommender System Based on Consumer Product Reviews
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Why we twitter: understanding microblogging usage and communities
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Proceedings of the first workshop on Online social networks
News@hand: A Semantic Web Approach to Recommending News
AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
Tagommenders: connecting users to items through tags
Proceedings of the 18th international conference on World wide web
Using twitter to recommend real-time topical news
Proceedings of the third ACM conference on Recommender systems
Content-based recommendation systems
The adaptive web
Open corpus adaptive educational hypermedia
The adaptive web
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
On the real-time web as a source of recommendation knowledge
Proceedings of the fourth ACM conference on Recommender systems
On using the real-time web for news recommendation & discovery
Proceedings of the 20th international conference companion on World wide web
From chatter to headlines: harnessing the real-time web for personalized news recommendation
Proceedings of the fifth ACM international conference on Web search and data mining
A multi-faceted user model for twitter
UMAP'12 Proceedings of the 20th international conference on User Modeling, Adaptation, and Personalization
Language processing for arabic microblog retrieval
Proceedings of the 21st ACM international conference on Information and knowledge management
A summarization tool for time-sensitive social media
Proceedings of the 21st ACM international conference on Information and knowledge management
An analysis of topical proximity in the twitter social graph
SocInfo'12 Proceedings of the 4th international conference on Social Informatics
TweetMogaz: a news portal of tweets
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Finding news curators in twitter
Proceedings of the 22nd international conference on World Wide Web companion
SNS-based issue detection and related news summarization scheme
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
Dynamic adaptation of numerical attributes in a user profile
Applied Intelligence
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User-generated content has dominated the web's recent growth and today the so-called real-time web provides us with unprecedented access to the real-time opinions, views, and ratings of millions of users. For example, Twitter's 200m+ users are generating in the region of 1000+ tweets per second. In this work, we propose that this data can be harnessed as a useful source of recommendation knowledge. We describe a social news service called Buzzer that is capable of adapting to the conversations that are taking place on Twitter to ranking personal RSS subscriptions. This is achieved by a content-based approach of mining trending terms from both the public Twitter timeline and from the timeline of tweets published by a user's own Twitter friend subscriptions. We also present results of a live-user evaluation which demonstrates how these ranking strategies can add better item filtering and discovery value to conventional recency-based RSS ranking techniques.