Quest: An adaptive framework for user profile acquisition from social communities of interest

Proceedings - 2010 International Conference on Advances in Social Network Analysis and Mining, ASONAM 2010

Volumn , Issue , 2010, Pages 360-364

  Dokoohaki, Nima ^a   Matskin, Mihhail ^b  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

^b NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

Author keywords

Adaptive crawling; Profile mining; Social network analysis; User profiles

Indexed keywords

ADAPTIVE CRAWLING; ADAPTIVE FRAMEWORK; AUTOMATIC DISCOVERY; BAG OF WORDS; PREDICTIVE MODELS; PROFILE MINING; SEARCH TREES; SEMANTIC TAXONOMIES; SIMILAR INTERESTS; SOCIAL COMMUNITIES; SOCIAL NETWORK ANALYSIS; SOCIAL NETWORKS; SOCIAL WEBS; TARGET DOMAIN; TWO-STEP APPROACH; USER PROFILE;

MERGERS AND ACQUISITIONS;

ELECTRIC NETWORK ANALYSIS;

EID: 77958190948     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASONAM.2010.67     Document Type: Conference Paper

References (24)

1. Herlocker, J., Konstan, J., Borchers, A., and Riedl, J. 1999. An algorithmic framework for performing collaborative filtering. In Proceedings of the 1999 Conference on Research and Development in Information Retrieval, Aug. 1999.
2. OConner, M. and Herlocker, J. 1999. Clustering items for collaborative filtering. In Proceedings of the ACM SIGIR Workshop on Recommender Systems, Berkeley, CA.
3. Krestel, R., Fankhauser, P., and Nejdl, W. 2009. Latent dirichlet allocation for tag recommendation. In Proceedings of the Third ACM Conference on Recommender Systems, RecSys '09. ACM, New York, NY, 61-68.
4. Mobasher, B. 1999. A web personalization engine based on user transaction clustering. In Proceedings of the 9th Workshop on Information Technologies and Systems (WITS99), Dec. 1999.
5. Buchner, A. and Mulvenna, M.D. 1999. Discovering internet marketing intelligence through on-line analytical web usage mining. SIGMOD Record, 4:27.
6. Srivastava, J., Cooley, R., Deshpande, M., and Tan, P.-T. 2000. Web usage mining: Discovery and applications of usage patterns from Web data. SIGKDD Explorations, 1:2.
7. Soltysiak SJ, Crabtree IB. Automatic Learning of User Profiles Towards the Personalisation of Agent Services. BT Technology Journal. 1998;16(3):110-117.
8. Reichling T, Wulf V. Expert recommender systems in practice: evaluating semi-automatic profile generation. In: Boston, MA, USA: ACM; 2009:59- 68.
9. Kleinberg JM. Challenges in mining social network data: processes, privacy, and paradoxes. In: San Jose, California, USA: ACM; 2007:4- 5.
10. D. Jensen and J. Neville. Data mining in social networks. In National Academy of Sciences Symposium on Dynamic Social Network Modeling and Analysis, 2002.
11. Banerjee, N., Chakraborty, D., Dasgupta, K., Mittal, S., Joshi, A., Nagar, S., Rai, A., and Madan, S. 2009. User interests in social media sites: an exploration with micro-blogs. CIKM '09. ACM, New York, NY, 1823- 1826.
12. LiveJournal. http://www.livejournal.com/.
13. Wallach, H. M. 2006. Topic modeling: beyond bag-of-words. In Proceedings of the 23rd international Conference on Machine Learning (Pittsburgh, Pennsylvania, June 25 - 29, 2006). ICML '06, vol. 148. ACM, New York, NY, 977-984.
14. Novak B. A survey of focused web crawling algorithms. Proceedings of SIKDD. 2004:55-58.
15. Ester M, Kriegel H. Focused Web Crawling: A Generic Framework for Specifying the User Interest and for Adaptive Crawling Strategies. Computer.
16. N. Dokoohaki and M. Matskin, "Personalizing human interaction through hybrid ontological profiling: Cultural heritage case study, " in 1st Workshop on Semantic Web Applications and Human Aspects, (SWAHA08), M. Ronchetti, Ed., In conjunction with Asian Semantic Web Conference 2008. AIT e-press, 2008, pp. 133-140.
17. T. Ruotsalo, E. Makela, T. Kauppinen, E. Hyvonen, K. Haav, V. Rantala, M. Frosterus, N. Dokoohaki, and M. Matskin, "Smartmuseum: Personalized context-aware access to digital cultural heritage, " in Proceedings of the International Conferences on Digital Libraries and the Semantic Web 2009 (ICSD2009), Trento, Italy, 2009.
18. A. Marwick. LiveJournal Users: Passionate, Prolific, and Private. LiveJournal, Inc. Research Report, New York, December 2008.
19. LiveJournal Interests. http://www.livejournal.com/interests.bml.
20. FOAF Vocabulary Specification. http://xmlns.com/foaf/spec/.
21. Smartmuseum platform. http://smartmuseum.eu/.
22. Maedche, A. and Staab, S. 2001. Ontology Learning for the Semantic Web. IEEE Intelligent Systems 16, 2 (Mar. 2001), 72-79.
23. Pazzani M, Billsus D. Learning and Revising User Profiles: The Identification of Interesting Web Sites. Machine Learning. 1997;27(3):313-331.
24. Sebastiani F. Machine learning in automated text categorization. ACM Computing Surveys. 2002;34(1):1-47.