Affiliation:
1. Wuhan University of Science and Technology
Abstract
For the blank of the recommender system for chinese recipes, this paper uses OWLS-WSDL to build a semantic reasoning-based chinese recipe recommender system. This system through the tool of Protégé to establish the ontology of chinese recipes and then add rules for ontology reasoning. On this basis bring out a catering algorithm, using Euclidean distance and Jaccard to calculate the similarity between the dishes. According to the similarity as well as user preference, provides a quick means of siding dishes for users.
Publisher
Trans Tech Publications, Ltd.
Reference15 articles.
1. RESNICK P, IAKOVOU N, SUSHAK M, et al. GroupLens: An Open Architecture for Collaborative Filtering of Netnews [C] / Proceedings of ACM 1994 Conference on Computer Supported Cooperative Work, Chapel Hill, NC: Pages 175-186.
2. HILL W, STEAD L, ROSENSTEIN M, et al. Recommending and evaluating choices in a virtual community of Use [C] / Proceedings of SIGCHI conference on Human Factors in Computing Systems. New York: ACM Press, 1995: 194-201.
3. RESNICK P, Varian HR. Recommender systems. Communications of the ACM, 1997, 40(3): 56-58.
4. MOONEY R J, BENNETT P N, ROY L. Book recommending using test categorization with extracted information [C] /Proceedings of AAAI-98/ICML-98 Workshop on Learning for Text Categorization and
the AAAI-98 Workshop on Recommender Systems, pp.49-54.
5. PAZZANI M, BILLSUS D. Learning and Revising User Profiles: The Identification of Interesting Web Sites [J]. Machine Learning, 1977, 27(3): 313-331.