tlug: seminar announcement: "AGENT-BASED RECOMMENDER SYSTEMS AND INFORMATION FILTERING for Intelligent E-commerce on the Internet"

["Yasuaki Kudo" <yasu@example.com>]

<To attend this seminar, you need to register.  please send a blank email to
weblore-subscribe@example.com  It is a moderated mailing list.  Your email
address will be hidden.  There won't be any Spam.>
WebLore Seminar Announcement
========================

The following Tuesday 21st of March at 7 p.m. the seminar entitled
"AGENT-BASED RECOMMENDER SYSTEMS AND INFORMATION FILTERING for
Intelligent E-commerce on the Internet" will be given by Joaquin
Delgado, Chief Technology Officer of Silicon-Alley based company
MyMatcher.com (see a summary at the end of the mail). The seminar will
be given at the SAS Tokyo headquarters seminar room near Ginza (see
http://www.weblore.org for a map).

This seminar is being organized as part of the recently created WebLore
organization.
WebLore is intended as a forum for the discussion of web-related
technologies with particular emphasis on such things as information
retrieval, data mining, collaborative filtering, recommended systems and
indeed any technology that attempts to make the web more intelligent and
easier to use. WebLore also intends to help build bridges between
industry and academia enabling industry specialists to improve their
understanding of cutting-edge technologies and facilitate the sometimes
difficult transition of scientists from academia to industry. See
http://www.weblore.org for more details.

Attendance to the seminar is limited and only by registration. A fee of
1000 yen (500 yen for students) will be charged. A light meal (most
likely sushi) and a drink (a beer or a soft drink) will be provided for
each attendant. To register, send a blank email to
weblore-subscribe@example.com

Hope to see you all there!!!

The WebLore Team


Summary of the talk
===============
Recently, in the Internet and e-Biz communities, there has been a great
deal of interest on how Artificial Intelligence (AI) can be applied to
real life online scenarios for building intelligent information and
e-commerce systems. Notions of personalized search engines, software
agents, and recommender systems have gained large acceptance among
users for the task of assisting them in searching, sorting,
classifying, filtering and sharing information and helping them buy
goods, out of the vast amount of data now available on the Web. The
combination of the modeling of preferences of particular users, building
content/resource models, and the modeling of social patterns, has led
to apply AI techniques, such as Data Mining and Automated Collaborative
Information Filtering, to the problem of "getting to know better your
customer". This trend has been widely adopted by well known e-players
such as Amazon.com and Broadvision. In this talk, I will address the
problem of learning about users and automatic information customization
and filtering through the introduction of Agent-based Recommender
Systems (ARS). ARS are systems in which members of a community share
limited information, and obtains recommendations
from intelligent assistants (agents) for unseen objects (physical or
information goods and/or services), in a timely fashion. This
technology is increasingly being used for personalization, one-to-one
marketing and electronic relationship management (e-RM) on major
e-commerce sites. Finally, I will explain a new framework called MAPI,
that stands for Multiple-Aspects Position-aware Intelligence, which
adds location-based filtering, better suited for recommender systems,
on the I-Mode like Internet-enabled cellular phones, navigation systems
and mobile devices.

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