%0 Conference Paper %1 Diaz-Aviles:2012:HRI:2396761.2398479 %A Diaz-Aviles, Ernesto %A Drumond, Lucas %A Gantner, Zeno %A Schmidt-Thieme, Lars %A Nejdl, Wolfgang %B Proceedings of the 21st ACM international conference on Information and knowledge management %C New York, NY, USA %D 2012 %I ACM %K 2012 cikm2012 collaborative_filtering matrix_factorization myown recsys topic_discovery twitter %P 1592--1596 %R 10.1145/2396761.2398479 %T What is happening right now ... that interests me?: online topic discovery and recommendation in twitter %U http://doi.acm.org/10.1145/2396761.2398479 %X Users engaged in the Social Web increasingly rely upon continuous streams of Twitter messages (<i>tweets</i>) for real-time access to information and fresh knowledge about current affairs. However, given the deluge of tweets, it is a challenge for individuals to find relevant and appropriately ranked information. We propose to address this knowledge management problem by going beyond the general perspective of information finding in Twitter, that asks: "What is happening right now?", towards an individual user perspective, and ask: "What is interesting to <i>me</i> right now?" In this paper, we consider collaborative filtering as an online ranking problem and present RMFO, a method that creates, in real-time, user-specific rankings for a set of tweets based on individual preferences that are inferred from the user's past system interactions. Experiments on the <i>476 million Twitter tweets</i> dataset show that our online approach largely outperforms recommendations based on Twitter's <i>global trend</i> and Weighted Regularized Matrix Factorization (WRMF), a highly competitive state-of-the-art Collaborative Filtering technique, demonstrating the efficacy of our approach. %@ 978-1-4503-1156-4

@inproceedings{Diaz-Aviles:2012:HRI:2396761.2398479, abstract = {Users engaged in the Social Web increasingly rely upon continuous streams of Twitter messages (<i>tweets</i>) for real-time access to information and fresh knowledge about current affairs. However, given the deluge of tweets, it is a challenge for individuals to find relevant and appropriately ranked information. We propose to address this knowledge management problem by going beyond the general perspective of information finding in Twitter, that asks: "What is happening right now?", towards an individual user perspective, and ask: "What is interesting to <i>me</i> right now?" In this paper, we consider collaborative filtering as an online ranking problem and present RMFO, a method that creates, in real-time, user-specific rankings for a set of tweets based on individual preferences that are inferred from the user's past system interactions. Experiments on the <i>476 million Twitter tweets</i> dataset show that our online approach largely outperforms recommendations based on Twitter's <i>global trend</i> and Weighted Regularized Matrix Factorization (WRMF), a highly competitive state-of-the-art Collaborative Filtering technique, demonstrating the efficacy of our approach.}, acmid = {2398479}, added-at = {2012-12-07T17:23:05.000+0100}, address = {New York, NY, USA}, author = {Diaz-Aviles, Ernesto and Drumond, Lucas and Gantner, Zeno and Schmidt-Thieme, Lars and Nejdl, Wolfgang}, biburl = {https://www.bibsonomy.org/bibtex/2dbda7432a2c64b947d7584d034e9db21/diaz.l3s.de}, booktitle = {Proceedings of the 21st ACM international conference on Information and knowledge management}, description = {What is happening right now ... that interests me?}, doi = {10.1145/2396761.2398479}, interhash = {a6915b33067569d7154d7303a9ba7a7d}, intrahash = {dbda7432a2c64b947d7584d034e9db21}, isbn = {978-1-4503-1156-4}, keywords = {2012 cikm2012 collaborative_filtering matrix_factorization myown recsys topic_discovery twitter}, location = {Maui, Hawaii, USA}, numpages = {5}, pages = {1592--1596}, publisher = {ACM}, series = {CIKM '12}, timestamp = {2012-12-07T17:23:05.000+0100}, title = {What is happening right now ... that interests me?: online topic discovery and recommendation in twitter}, url = {http://doi.acm.org/10.1145/2396761.2398479}, year = 2012 }