The phenomenal growth of the Internet has resulted in the availability of
huge amounts of online information, a situation that is overwhelming to
the end-user. To overcome this problem personalization technologies have
been extensively employed across several domains to provide assistance in
filtering, sorting, classifying and sharing of online information.
The objective of this book is to foster the interdisciplinary discussions
and research in the diversity of personalization and recommendation tech
niques. These techniques depend on various sources such as domain knowl
edge, user modeling and user demographics. These fields of research are
now being covered by several cross disciplinary societies. It is also the goal
of this book to foster the discussions between researchers in pattern recog
nition community and those in other societies, and address personalization
techniques at a broader level.
The first International Workshop on Web Personalization, Recom-
mender Systems and Intelligent User Interfaces (WPRSIUI'05) was orga
nized to address issues related to user interfaces, personalization techniques
and recommender systems. It was held in Reading, UK in October 2005.
The program committee consisted of a group of well-known researchers and
practitioners in the area. Twenty papers were presented at the workshop,
the topics ranging from user modeling, and machine learning, to intelli
gent user interfaces and recommender systems. To solicit papers for this
book, authors of the best papers from the workshop were invited to resub
mit their extended versions for review along with other papers submitted
through the open call. After a prestigious selection process involving two
rounds of committee reviewing followed by editors* final review, we are
delighted to present the following twelve (12) papers.
The first paper "Personalization- Privacy Tradeoffs in Adaptive Infor
mation Access" is an invited contribution by Prof. Barry Smyth. This
paper presents the challenges of adapting different devices such as mobile
phones to access online information.
