posted by system || 1397 views || tracked by 4 users: [display]

ITWP 2013 : 11th Workshop on Intelligent Techniques for Web Personalization and Recommendation

FacebookTwitterLinkedInGoogle

Link: http://ls13-www.cs.uni-dortmund.de/homepage/itwp2013
 
When Jul 14, 2013 - Jul 15, 2013
Where Bellevue, Washington, USA
Submission Deadline Apr 3, 2013
 

Call For Papers

ITWP'13 Workshop Goals

Web Personalization tailors the Web experience to a particular user or set of users. The experience can be something as casual as browsing a Web site or as significant as trading stocks or purchasing a car. The actions can range from simply making the presentation more pleasing to anticipating the needs of a user and providing customized and relevant information. To achieve effective personalization, organizations must rely on all available data, including the usage and click-stream data, content and structure, domain knowledge, as well as user demographics and profiles. Efficient and intelligent techniques are needed to mine this data for actionable knowledge, and to effectively use the discovered knowledge to enhance the users' Web experience. These techniques must address important challenges emanating from the size of the data as well as the dynamic nature of user interactions with the Web. The challenges include the scalability of the personalization solutions, data integration, and the integration of techniques from machine learning, information retrieval and filtering, databases, agent systems, knowledge representation, data mining, text mining, statistics, information security and privacy, user modeling and human-computer interaction.

Recommender systems represent one special and prominent class of personalized Web applications, which focus on the user-dependent filtering and selection of relevant information and aim to support online users in the decision-making and buying process. Recommender Systems have been a subject of extensive research in AI over the last decade, but with today's increasing number of e-commerce environments on the Web, the demand for new approaches to intelligent product recommendation is higher than ever. The recent developments in the area of recommender systems generated new demands, in particular with respect to interactivity, adaptivity, and user preference elicitation. These challenges, however, are also in the focus of general Web Personalization research.

In the light of the growing importance of these areas particularly in e-commerce environments and the increasing overlap of the two research areas, the aim of this workshop is to bring together researchers and practitioners of both fields, to foster an exchange of information and ideas, and to facilitate a discussion of various current and emerging topics relevant to building personalized intelligent systems for the Web.

Related Resources

WSDM 2019   WSDM 2019: The 12th ACM International Conference on Web Search and Data Mining
WWW 2019   The Web Conference 2019
UMAP 2018   User Modeling, Adaptation, and Personalization
SeCoP 2018   The 5th International Symposium on Semantic Computing and Personalization
ACIIDS 2018   10th Asian Conference on Intelligent Information and Database Systems
PERSONALDATA-UMUAI 2018   Special Issue on Harnessing personal tracking data for personalization and sense-making at User Modeling and User-Adapted Interaction Journal (UMUAI)
IJWesT 2018   International Journal of Web & Semantic Technology
ICRIS--Ei Compendex and Scopus 2019   2019 The 2nd International Conference on Robotics and Intelligent System (ICRIS 2019)--Ei Compendex and Scopus
IUI 2019   ACM Conference on Intelligent User Interfaces
ITSC 2019   IEEE Intelligent Transportation Systems Conference