Topics, References and Assignment

First Session: Building User Profiles (July 8th):

1. User profiles in online shopping
   Web retailing adoption: exploring the nature of internet users Web retailing behaviour Aron O'Cass, Tino Fenech http://www.sciencedirect.com/science/article/pii/S0969698902000048
   
2. User profile  building by keyword and tag extraction
   User Profiling Based on Keyword clusters for improved recommendations: http://link.springer.com/chapter/10.1007/978-3-319-04483-5_19
   Integrating tags in semantic content-based recommender http://dl.acm.org/citation.cfm?doid=1454008.1454036
    Exploiting Big Data for Enhanced Representations in Content-Based Recommender Systems: http://link.springer.com/chapter/10.1007/978-3-642-39878-0_1
3. User profile building using profile features
   A Machine Learning Approach to Twitter User Classification http://coitweb.uncc.edu/~anraja/courses/SMS/SMSBib/2886-14198-1-PB.pdf
   A picture is worth a thousand words: A content analysis of Facebook profile photographs http://www.sciencedirect.com/science/article/pii/S0747563211000690
   Private traits and attributes are predictable from digital records of human behavior http://www.pnas.org/content/110/15/5802.short
   Towards social user profiling: unified and discriminative influence model for inferring home locations http://dl.acm.org/citation.cfm?id=2339692
   
4. User profile building using connections
   Homophily and Latent Attribute Inference: Inferring Latent Attributes of Twitter Users from Neighbors http://www.networkdynamics.org/static/publication_files/ZamalLiuRuths_ICWSM2012.pdf
   Show me your friends and I will tell you what type of person you are: How one's profile, number of friends, and type of friends influence impression formation on social network sites http://onlinelibrary.wiley.com/store/10.1111/j.1083-6101.2010.01522.x/asset/j.1083-
   6101.2010.01522.x.pdf?v=1&t=ht7v204p&s=fd4bf7caf010730baab6bce1e8b2f59493e36633
   Same Places, Same Things, Same People? Mining User Similarity on Social Media http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.357.1954&rep=rep1&type=pdf
   
5. User profile building using interactions
   Identifying Communicator Roles in Twitter http://eprints.soton.ac.uk/335268/1/wk10p14-tinati.pdf
   User profiling on Twitter http://www.semantic-web-journal.net/sites/default/files/swj198.pdf
   
6. Risks of online user profiles
   Abusing Social Networks for Automated User Profiling Marco Balduzzi, Christian Platzer, Thorsten Holz, Engin Kirda, Davide Balzarotti, Christopher Kruegel http://link.springer.com/chapter/10.1007/978-3-642-15512-3_22
   

Second Session: Using Profiles (July 15th):

1. Classical Recommendation Systems
   Overview on recommendation approaches:
   Recommender Systems survey: http://www.sciencedirect.com/science/article/pii/S0950705113001044#
   Recommendation use case:
   Social knowledge-based recommender system. Application to the movies domain:http://www.sciencedirect.com/science/article/pii/S0957417412004952#
   Facing the cold start problem in recommender systems http://www.sciencedirect.com/science/article/pii/S0957417413007240

2. Recommendations in online media
   Combining Social Music and Semantic Web for music-related recommender systems: http://ceur-ws.org/Vol-405/paper3.pdf
   Evaluating Hybrid Music Recommender Systems http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6689994&tag=1
   A Cascade-Hybrid Music Recommender System for mobile services based on musical genre classification and personality diagnosis http://link.springer.com/article/10.1007/s11042-011-0742-0
   Social Context-Based Movie Recommendation: A Case Study on MyMovieHistory http://link.springer.com/chapter/10.1007/978-3-319-05939-6_33

3. Privacy Risks of Recommendations
   "You Might Also Like:" Privacy Risks of Collaborative Filtering  Joseph A. Calandrino, Ann Kilzer, Arvind Narayanan, Edward Felten, and Vitaly Shmatikov http://dx.doi.org/10.1109/SP.2011.40
   
4. Smart Home Profiling
   Profile-based control for central domestic hot water distribution F. Iglesias Vazquez and  P. Palensky, http://www.ibpsa.org/proceedings/BS2013/p_1032.pdf
   Home Energy Saving through a User Profiling System based on Wireless Sensors Antimo Barbato, Luca Borsani, Antonio Capone, Stefano Melzi  http://www.ict-aim.eu/fileadmin/user_files/Builsys09.pdf
   Real-Time Recognition and Profiling of Appliances through a Single Electricity Sensor  A.G. Ruzzelli, C. Nicolas, A. Schoofs, and G.M.P. O'Hare http://dx.doi.org/10.1109/SECON.2010.5508244
   
5. Profiles and Pricing
   Detecting price and search discrimination on the internet  Jakub Mikians, László Gyarmati, Vijay Erramilli, Nikolaos Laoutaris  http://dl.acm.org/citation.cfm?id=2390245
   
6. Profile Mining and Privacy
   Normality Mining: Privacy Implications of Behavioral Profiles Drawn From   GPS Enabled Mobile Phones Mark N. Gasson, Eleni Kosta, Denis Royer, Martin Meints, and Kevin Warwick http://dx.doi.org/10.1109/TSMCC.2010.2071381
   Transparent Accountable Data Mining: New Strategies for Privacy  Protection   Weitzner, Abelson, Berners-Lee, Hanson, Hendler, Kagal, McGuinness,   Sussman, Waterman   http://dig.csail.mit.edu/2006/01/tami-privacy-strategies-aaai.pdf