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Recommendation and Personalization in eCommerce
Electronic commerce is the process of managing business occurring over networks,
which use non-proprietary protocols such as Internet. Business includes buying and
selling of information, services and goods and maintaining a network of relationships
between organizations and individuals.
Recommendation systems are e-commerce applications that provide advice to users
about products or services they might be interested in. Web based recommendation
systems are the most notable application of the web personalization, i.e., the
process of tailoring a web site to individual users' characteristics or preferences.
Recommendation systems are exploiting a vast range of AI technologies and are
defining new scenarios for human to human and human to machine interaction. The
ultimate goal is to offer an enhanced one-to-one solution for each single user and
meet his needs more effectively and efficiently.
But there are still major limitations and problems that harness the full exploitation of
personalised recommendation systems, both arising from the technology side and
from the "human factor". The goal of this workshop is to bring together academic
and industrial researchers to discuss the most innovative approaches to
recommendation in the context of personalised e-Commence applications and in
particular to discuss emerging related topics such as: modelling decision making in
recommendation systems, cooperative query answering, session modelling, user
modelling, web mining, methodologies for comparison and explanation of
recommendations. |
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2nd Workshop on Personalization in Future TV
The first edition of the Personalization in Future TV workshop (TV'01)
was organized in Sonthofen, Germany, in 2001, as a forum in which
researchers from diverse areas such as machine learning,
knowledge engineering, cognitive sciences,
adaptive user interfaces, and business intelligence could share
their experiences in the design, development and exploitation of
user interfaces for future TV services. |
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Personalization Techniques in Electronic Publishing on the Web: Trends and Perspectives
The goal of the workshop is
to review the current state of the art in the exploitation of personalization techniques within Web
sites devoted to electronic publishing, and to highlight major trends for the future and open research problems.
The workshop is addressed to researchers and to electronic publishers. |
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Document Compression and Synthesis in Adaptive Hypermedia Systems
Nowadays, given the explosion of on-line information sources and the existence of massive
information universes, some forms of (semi-) automatic lossless/lossy compression and
synthesization of data are becoming crucial. The main objective of compression/synthesization is
the production of a concise, condensed representation of the key information content of an
information source, for a particular user and task.
Lossy Data Compression and Synthesization will play a central role in mobile computing and in
Adaptive Hypermedia Systems, where the information presented to the user need to be dynamically
scaled with respect to many conditions, such as the user terminal, the environment (e.g. location,
time, place, battery conditions, etc.) and, of course, the user needs and wishes. |
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Adaptive Systems for Web-based Education
Web-based education is currently a hot research and development area. Benefits of Web-based education are clear at hand: learners from all over the world can enroll in learning activities, communicate with other students or teachers, can discuss and control their learning progress - solely based on an internet-capable computer. A challenging research goal is to tailor the access to web-based education systems to the individual learners' needs, as determined by such factors as their previous knowledge on the subject, their learning style, their general attitude and/or their cultural or linguistic background. |
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