For the Social Personalization & Search workshop, we invite to participate researchers working in the fields of Information Retrieval, Personalization, User Modeling, and Recommender Systems where the social dimension plays a fundamental role. The workshop is examining several approaches that leverage the social side of the search process on two main contexts: (a) using social data for improving search and recommendations, and (b) search as a social process, collaborative IR.
On the first context, we expect to attract contributions that use the social dimension in different methods for personalization and search, such as data from online social networks, social tagging systems, online forums and community-based Q&A. This topic is important because it involves leveraging new sources of information that are specific to social systems such as shared items and tags, user public profiles, online and offline social connections, and logs of user social activities in order to improve people's information access in a wide variety of tasks and devices.
On the second context, the social dimension is emphasized as collaboration, so we aim to discuss works that consider information seeking as a collaborative activity. Here, researches can potentially use explicit social communication information (such as online, offline chat) to boost the personalized search experience for each user, or in a community-wise sense, support the common goal of users working on the same search tasks, such as people planning a group trip.
More info at http://socialcomputing.ing.puc.cl/sps2015/
Dr. Christoph Trattner is the head of the Social Computing Research Area at Know-Center, Austria's research competence center for Data-driven Business and Big Data Analytics. He holds a PhD (with hons) in CS from Graz University of Technology, Austria and he is currently enrolled as an ERCIM Alain Bensoussan fellow with NTNU, Norway. His research interests include Information Retrieval, Web Science, Data Mining and Recommender Systems, especially in the Social Context.
Dr. Denis Parra is Assistant Professor at the Department of Computer Science, School of Engineering in PUC Chile. He received a PhD in Information Science from University of Pittsburgh (PA, USA, 2013) and currently conducts research on Personalization, Social Network Analysis and Information Visualization at the PUC Social Computing and Visualization (SoCVis) Lab. His research interests include Statistical Analysis, Recommender Systems and SNA.
University of Pittsburgh
Dr. Peter Brusilovsky is currently Professor of Information Science and Intelligent Systems at the University of Pittsburgh, where he directs Personalized Adaptive Web Systems (PAWS) lab. He has been working in the field of adaptive systems, user modeling, and intelligent user interfaces for more than 20 years. He published numerous papers and edited several books on adaptive hypermedia and the adaptive Web. Peter is the Associate Editor-in-Chief of IEEE TLT and a board member of several journals including UMUAI, ACM TWEB, and Web Intelligence and Agent Systems.
Leandro Balby Marinho
Federal University of Campina Grande
Dr. Leandro Balby Marinho is currently adjunct professor at the Federal University of Campina Grande, Brazil. In 2010 he received his Ph.D. degree in computer science from the University of Hildesheim, Germany. His research interests include Machine Learning, Recommender Systems, the Semantic Web and Social Media Mining. At UFCG, he teaches Discrete Mathematics and serves as the coordinator of the undergraduate program in Computer Science.