A Multi-criteria Game Recommendation Systemased on User Experience
Date Issued
2008
Date
2008
Author(s)
Chen, Ting-Kuang
Abstract
Recommendation systems have been widely used for e-commerce and personal activities, including films, news, books, traveling and restaurants. Nevertheless, electronic games are new recreations which recommendation systems haven’t been applied to yet. Most people merely regard games recommendation as the extension of other commodities, while what really counts in playing games is active participation of users, cultivation of personal skill, interaction of communities, and immersion effects, hence the interaction between users and products are more complex. Furthermore, personal experiences will certainly influence one’s preference and satisfaction during the period of user-product interaction. If a user gives a product or service a negative evaluation, one may merely feel unpleasant about some certain experience, and is unwilling to attain the same experience again. It doesn’t mean that the user is completely unsatisfied with the item, but this kind of situation cannot be reflected on the single criterion rating recommendation system. This research adopts GameFlow Model which is based on Flow Theory to devise the criteria of user experience measurement, and use them for the rating elements of multi-criteria recommendation system. We adjust the criteria weight by analyzing the similarities between criteria and overall rating to enhance the result of prediction and prove the usefulness of our system. The primary measurements, F1-measure and users’ system satisfaction rate, reach to 86% and 73% respectively.
Subjects
Recommendation System
Electronic Games
Multi-criteria Ratings
Collaborative Filtering
User Experience
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