LASTA: Large scale topic assignment on multiple social networks

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2014, Pages 1809-1818

  Spasojevic, Nemanja ^a   Yan, Jinyun ^a   Rao, Adithya ^a   Bhattacharyya, Prantik ^a  

^a Klout Inc   (United States)

Author keywords

distributed systems; interest mining; large scale; online social networks; topic assignment; user modeling

Indexed keywords

EID: 84907026926     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2623330.2623350     Document Type: Conference Paper

References (20)

1. Alan Ritter, Mausam Clark, Sam, and Oren Etzioni. Named entity recognition in tweets: an experimental study. In Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2011.
2. Zhiheng Xu, Rong Lu, Liang Xiang, and Qing Yang. Discovering user interest on twitter with a modified author-topic model. In Web Intelligence and Intelligent Agent Technology, 2011.
3. Liangjie Hong and Brian D Davison. Empirical study of topic modeling in twitter. In Workshop on Social Media Analytics, 2010.
4. Matthew Michelson and Sofus A Macskassy. Discovering users' topics of interest on twitter: a first look. In Workshop on Analytics for noisy unstructured text data, 2010.
5. Daniel Ramage, Susan T Dumais, and Daniel J Liebling. Characterizing microblogs with topic models. In Weblogs and Social Media, 2010.
6. Yehuda Koren, Robert Bell, and Chris Volinsky. Matrix factorization techniques for recommender systems. In Computer. IEEE, 2009.
7. Susan Gauch, Jason Chaffee, and Alexander Pretschner. Ontology-based personalized search and browsing. In Web Intelligence and Agent Systems, 2003.
8. Feng Qiu and Junghoo Cho. Automatic identification of user interest for personalized search. In World Wide Web, 2006.
9. Amr Ahmed, Yucheng Low, Mohamed Aly, Vanja Josifovski, and Alexander J Smola. Scalable distributed inference of dynamic user interests for behavioral targeting. In Knowledge discovery and data mining, 2011.
10. David M Blei and John D Lafferty. A correlated topic model of science. Annals of Applied Statistics, 2007.
11. Thomas K Landauer and Susan T Dumais. A solution to plato's problem: The latent semantic analysis theory of acquisition, induction, and representation of knowledge. Psychological review, 1997.
12. David M Blei, Andrew Y Ng, and Michael I Jordan. Latent dirichlet allocation. Journal of machine Learning research, 2003.
13. Julia Stoyanovich, Sihem Amer-Yahia, Cameron Marlow, and Cong Yu. Leveraging tagging to model user interests in del. icio. us. In AAAI Spring Symposium: Social Information Processing, 2008.
14. Xin Li, Lei Guo, and Yihong Eric Zhao. Tag-based social interest discovery. In World Wide Web, 2008.
15. Zheng Yang, Jingfang Xu, and Xing Li. Data selection for user topic model in twitter-like service. In Parallel and Distributed Systems, 2011.
16. Ido Guy, Uri Avraham, David Carmel, Sigalit Ur, Michal Jacovi, and Inbal Ronen. Mining expertise and interests from social media. In World Wide Web, 2013.
17. C Honey and Susan C Herring. Beyond microblogging: Conversation and collaboration via twitter. In System Sciences, 2009.
18. Danah Boyd, Scott Golder, and Gilad Lotan. Tweet, tweet, retweet: Conversational aspects of retweeting on twitter. In System Sciences, 2010.
19. Google. Freebase data dumps. https://developers.google.com/freebase/data, 2012.
20. Valentin I. Spitkovsky and Angel X. Chang. A cross-lingual dictionary for english wikipedia concepts. In Language Resources and Evaluation, 2012.