Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/25032
Title: GiftFinder : a Web 2.0 recommendation system using mobile technologies
Authors: Montebello, Matthew
Camilleri, Vanessa
Young, Lisa
Keywords: Recommender systems (Information filtering)
Web 2.0
Conceptual structures (Information theory)
Issue Date: 2011
Publisher: IAmLearn
Citation: Montebello, M., Camilleri, V., & Young, L., (2011). GiftFinder : a Web 2.0 recommendation system using mobile technologies. 10th International Conference on Contextual and Mobile Learning, mLearn2011, Beijing. 343-348.
Abstract: In today's hectic lifestyle it becomes a challenge to fit all our errands into an acceptable amount of time. One major time-eater is shopping whereby we can spend hours looking round a massive shop to find just the right item for ourselves or to buy as a gift. To reduce this lengthy time in shopping we look to recommendation systems to make our lives easier, however we do not want to spend time filling in profiles about ourselves as is required with most recommendation systems. We also want to be able to get recommendations for other people and not just ourselves. GiftFinder aims to alleviate these problems by making use of a number of Web 2.0 technologies such as Social Networks, Wikis and Concepts. To provide users with recommendations for any of their friends on their mobile device by interfacing with a shop server and a backend database of products.
URI: https://www.um.edu.mt/library/oar//handle/123456789/25032
Appears in Collections:Scholarly Works - FacICTAI

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