Call For Papers

The primary goal of this workshop is to gather researchers and practitioners from different fields, e.g., recommender systems, user modelling, user interaction, mobile, ubiquitous and ambient technologies, artificial intelligence and web information systems in various domains such as media, e-commerce, music, health care, personal assistants, social networks, tourism, technology enhanced learning, so as to explore various practical use cases of significance of temporal aspects in recommender systems in these domains. During the workshop we aim to identify the typical user groups, tasks and roles in order to achieve an adequate personalization and recommendation relying on temporal aspects.

Important aspects and topics to be discussed evolve around:

· Specific applications and case studies where temporal aspects were considered (evaluation)

· Specific methods and techniques for integrating temporal aspects into the recommendations

· Integrating data

Exploiting data from various sources, i.e., catalogues, Linked Open Data, and usage logs

· Context and Mobility

· Cold-Start Problem

· Preference Elicitation

· Temporal Personalization

· Temporal aspects in group recommendations

· Cross domain temporal patterns