Title
A Destination Recommendation System For Virtual Worlds
Abstract
This paper describes the design and training of a recommendation system that helps the user navigate in Second Life (SL), a massively multi-player online environment. Second Life allows users to create a virtual avatar and explore areas built by other users. However, unlike the real world, virtual attractions can be constructed within hours and previous ones often rapidly fall into disuse. Without recent information about the state of regions in the world, it is difficult to assist the user's searches in the virtual world. In this paper, we present a framework for leveraging recommendations about locations made by other users using a collaborative item-based filtering method in which locations are treated as items. Our system runs in real-time and presents the user with information via a virtual heads-up display (HUD). Copyright © 2010, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
Publication Date
10-19-2010
Publication Title
Proceedings of the 23rd International Florida Artificial Intelligence Research Society Conference, FLAIRS-23
Number of Pages
475-476
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
77957883929 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/77957883929
STARS Citation
Shah, Fahad; Bell, Philip; and Sukthankar, Gita, "A Destination Recommendation System For Virtual Worlds" (2010). Scopus Export 2010-2014. 524.
https://stars.library.ucf.edu/scopus2010/524