eMenu推荐系统使用协同过滤和斜率预测器

Supaporn Bundasak, K. Chinnasarn
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引用次数: 7

摘要

Slope One Predictor适用于预测基于在线评级的协同过滤,用于分析与人的喜好或兴趣相关的数据,这些数据在菜单中是各种各样的,菜单是丰富的。该系统被认为是一个个性化推荐系统,通过使用研究人员认为适合数据的菜单的满意度的协同过滤。此外,食物是每顿饭都要决定的事情;因此,在未来,找到最佳技术并根据询问者的需要使用推荐的数据是必不可少的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
eMenu recommender system using collaborative filtering and Slope One Predictor
The Slope One Predictor is suitable for predicting the online rating-base collaborative filtering which is used for analyzing data related to persons' likes or interests in the menu which are variously diverse and the menus are plenty. The system is considered a Personalized Recommender System by using collaborative filtering of satisfaction that the researchers consider the menu fit for the data. In addition, the food is the matter to be decided on every meal; therefore, finding the best technique and using the recommended data as needed by the inquirer is essential and vital in the future.
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