Workshop: 2. Interacting With Recommender Systems

Sunday 09:00 - 17:30. Monday 09:00 - 17:30.

Patrick Baudisch, GMD-IPSI, Germany
Loren Terveen, AT&T Research, USA

Recommender systems automate the process of passing experience from a community of users to an individual user who is about to make a decision. They support people in making recommendations and in finding a set of people who are likely to provide good recommendations for a given person.

This workshop will focus on user and usage aspects of recommender systems. The workshop will consider, among others, the following issues:

• for which domains and which communities of users are recommender systems appropriate?
• empirical evaluation of deployed systems
• can interest profiles be constructed automatically from implicit input?
• what types of incentives must be provided to motivate users to participate?
• how should recommender systems communicate their results to users?
• privacy aspects

Applicants should send position papers (3-5 pages, preferably in pdf format) to the organizers, articulating their interests, ideas, and experiences in recommender systems. Application demonstrations are strongly encouraged. We welcome people with a variety of insights and perspectives, e.g. HCI, artificial intelligence, visualization, information retrieval. Participants will be selected based on their position papers, while seeking to balance the perspectives and interests of participants. This workshop is limited to 15 participants.

All accepted position papers will be placed on a web site by the organizers. Participants will be expected to read the position papers of all other participants prior to the workshop and to prepare a brief presentation of their own views. Participants will be asked to assist in the preparation of a report after the workshop.

More information is on the workshop's web page.

Contact:
Patrick Baudisch
GMD-IPSI
Dolivostrasse 15
D-64293 Darmstadt Germany
Tel: +49 6151 869854
Email: baudisch@gmd.de