Title :
eMenu recommender system using collaborative filtering and Slope One Predictor
Author :
Bundasak, Supaporn ; Chinnasarn, Krisana
Author_Institution :
Fac. of Inf., Burapha Univ., Chonburi, Thailand
Abstract :
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.
Keywords :
collaborative filtering; data analysis; recommender systems; data analysis; eMenu recommender system; inquirer; online rating-base collaborative filtering; personalized recommender system; slope one predictor; Accuracy; Algorithm design and analysis; Collaboration; Databases; Prediction algorithms; Recommender systems; Recommender Systems; Slope One; collaborative filtering component;
Conference_Titel :
Computer Science and Software Engineering (JCSSE), 2013 10th International Joint Conference on
Conference_Location :
Maha Sarakham
Print_ISBN :
978-1-4799-0805-9
DOI :
10.1109/JCSSE.2013.6567316
