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Web
Personalization can be
defined as any set of actions that can tailor 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 (economically) 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 (reflecting user
behaviour), the site content, the site structure, domain knowledge, as well as
user demographics and profiles. In addition, 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 and
the heterogeneous nature of the data itself, as well as the dynamic nature of
user interactions with the Web. These challenges include the scalability of the
personalization solutions, data integration, and successful integration of
techniques from machine learning, information retrieval and filtering,
databases, agent architectures, knowledge representation, data mining, text
mining, statistics, user modelling and human-computer interaction. Throughout
the history of the Web, AI has continued to play an essential role in the
development of Web-based information systems, and now
it is believed that personalisation will prove to be the “killer-app” for AI.
E-commerce and Web information systems are rich sources of difficult problems
and challenges for AI researchers.
This workshop represents the 4th in a successful series of workshops which until
now have been held at IJCAI. It intends to bring together researchers and
practitioners to foster an exchange of
information and ideas, and to facilitate a discussion of current and emerging
topics related to Web Intelligence.
Web
Intelligence
exploits AI and advanced information technology on the Web and Internet, in
order to gain business intelligence and to assist users.
The goal of the
workshop is to stimulate the future development of new models, methodologies,
and tools for Web intelligence, including effective and scalable Web-based
personalization solutions and recommender systems.
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