Poster presented at the 4th ACM Conference on Recommender Systems (RecSys 2010), Barcelona, Spain, September 26-30, 2010The so-called real-time web (RTW) is a web of opinions, comments, and personal viewpoints, often expressed in the form of short, 140-character text messages providing abbreviated and personalized commentary in real-time. Twitter is undoubtedly the king of the RTW. It boasts 100+ million users and generates in the region of 50m tweets per day. This RTW data is far from the structured data (ratings, product features, etc.) familiar to recommender systems research, but it is useful to consider its applicability to recommendation scenarios. In this short paper we describe an experiment to look at harnessing the real-time opin...
We propose a new methodology for recommending interesting news to users by exploiting the informatio...
Paper presented at the 33rd European Conference on Information Retrieval (ECIR-11), 18-21 April, 201...
Paper presented at the 4th ACM Conference on Recommender Systems (RecSys 2010), Barcelona, Spain, Se...
Paper presented at the Thirtieth SGAI International Conference on Artificial Intelligence (AI-2010),...
Real-time web (RTW) services such as Twitter allow users to express their opinions and interests, of...
The use of recommendation systems (RSs) in e-commerce and digital media has attracted a great deal o...
Presented at the 20th International World Wide Web Conference, WWW 2011, Hyderabad, India, March 28 ...
Paper presented at the 3rd ACM Conference on Recommender Systems (RecSys 2009), New York City, NY, U...
The advent of internet has served as an offspring for the significant growth of online services and ...
Recommender systems are a means of personalizing the presentation of information to ensure that user...
The advent of the real-time web is proving both challeng- ing and at the same time disruptive for a...
The advent of the real-time web is proving both challeng- ing and at the same time disruptive for a...
We propose a new methodology for recommending interesting news to users by exploiting the informatio...
We propose a new methodology for recommending interesting news to users by exploiting the informatio...
We propose a new methodology for recommending interesting news to users by exploiting the informatio...
We propose a new methodology for recommending interesting news to users by exploiting the informatio...
Paper presented at the 33rd European Conference on Information Retrieval (ECIR-11), 18-21 April, 201...
Paper presented at the 4th ACM Conference on Recommender Systems (RecSys 2010), Barcelona, Spain, Se...
Paper presented at the Thirtieth SGAI International Conference on Artificial Intelligence (AI-2010),...
Real-time web (RTW) services such as Twitter allow users to express their opinions and interests, of...
The use of recommendation systems (RSs) in e-commerce and digital media has attracted a great deal o...
Presented at the 20th International World Wide Web Conference, WWW 2011, Hyderabad, India, March 28 ...
Paper presented at the 3rd ACM Conference on Recommender Systems (RecSys 2009), New York City, NY, U...
The advent of internet has served as an offspring for the significant growth of online services and ...
Recommender systems are a means of personalizing the presentation of information to ensure that user...
The advent of the real-time web is proving both challeng- ing and at the same time disruptive for a...
The advent of the real-time web is proving both challeng- ing and at the same time disruptive for a...
We propose a new methodology for recommending interesting news to users by exploiting the informatio...
We propose a new methodology for recommending interesting news to users by exploiting the informatio...
We propose a new methodology for recommending interesting news to users by exploiting the informatio...
We propose a new methodology for recommending interesting news to users by exploiting the informatio...
Paper presented at the 33rd European Conference on Information Retrieval (ECIR-11), 18-21 April, 201...
Paper presented at the 4th ACM Conference on Recommender Systems (RecSys 2010), Barcelona, Spain, Se...