Web search engines have changed our lives - enabling instant access to information about subjects that are both deeply important to us, as well as passing whims. The search engines that provide answers to our search queries also log those queries, in order to improve their algorithms. Academic research on search queries has shown that they can provide valuable information on diverse topics including word and phrase similarity, topical seasonality and may even have potential for sociology, as well as providing a barometer of the popularity of many subjects. At the same time, individuals are rightly concerned about what the consequences of accidental leaking or deliberate sharing of this information may mean for their privacy. In this talk I will cover the applications which have benefited from mining query logs, the risks that privacy can be breached by sharing query logs, and current algorithms for mining logs in a way to prevent privacy breaches.
Workshop Topics
Possible topics of the workshop include (but are not limited to):
* Social network analysis
* Bibliometrics
* Community discovery
* Personalization for search and for social interaction
* Recommender systems
* Web mining algorithms
* Applications of social network analysis
* Mining (Collaborative) Tagging Systems (blogs, wikis, etc.)
* Mining social data for multimedia information retrieval
* Opinion mining
This is a repository of databases, domain theories and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms.
A. Sinha, Z. Shen, Y. Song, H. Ma, D. Eide, B. Hsu, and K. Wang. Proceedings of the 24th International Conference on World Wide Web, page 243--246. Republic and Canton of Geneva, Switzerland, International World Wide Web Conferences Steering Committee, (2015)
J. Lin, E. Keogh, S. Lonardi, and B. Chiu. Proceedings of the 8th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, page 2--11. New York, NY, USA, ACM, (2003)
F. Morstatter, J. Pfeffer, H. Liu, and K. Carley. Proceedings of the Seventh International AAAI Conference on Weblogs and Social Media, page 400--408. The AAAI Press, (2013)
R. Jäschke, and S. Rudolph. Contributions to the 11th International Conference on Formal Concept Analysis, page 19--34. Technische Universität Dresden, (May 2013)
F. Suchanek, G. Kasneci, and G. Weikum. Proceedings of the 16th international conference on World Wide Web, page 697--706. New York, NY, USA, ACM, (2007)
B. Pereira Nunes, R. Kawase, S. Dietze, D. Taibi, M. Casanova, and W. Nejdl. Proceedings of the Web of Linked Entities Workshop in conjuction with the 11th International Semantic Web Conference, volume 906 of CEUR-WS.org, page 45--57. (November 2012)
T. Joachims. Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, page 133--142. New York, NY, USA, ACM, (2002)
B. Martins, H. Manguinhas, and J. Borbinha. Proceedings of the International Conference on Semantic Computing, page 1--9. IEEE Computer Society, (August 2008)
A. Brew, D. Greene, and P. Cunningham. Proceedings of the 19th European Conference on Artificial Intelligence, volume 215 of Frontiers in Artificial Intelligence and Applications, page 145--150. Amsterdam, The Netherlands, The Netherlands, IOS Press, (2010)
N. Tatti, T. Mielikainen, A. Gionis, and H. Mannila. Proceedings of the Sixth IEEE International Conference on Data Mining (ICDM 2006), page 603--612. IEEE, (December 2006)
S. Tramp, P. Frischmuth, T. Ermilov, and S. Auer. Proceedings of the EKAW 2010 - Knowledge Engineering and Knowledge Management by the Masses; 11th October-15th October 2010 - Lisbon, Portugal, volume 6317 of Lecture Notes in Artificial Intelligence, page 135--149. Berlin / Heidelberg, Springer, (October 2010)
T. Joachims, L. Granka, B. Pan, H. Hembrooke, and G. Gay. SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, page 154--161. New York, NY, USA, ACM, (2005)
U. Fayyad, G. Piatetsky-Shapiro, and P. Smyth. Advances in knowledge discovery and data mining, American Association for Artificial Intelligence, Menlo Park, CA, USA, (1996)