Reference: | [1] R. Agrawal and R. Srikant, Fast algorithms for mining association rules. Procedings 20th Internatinal Conference Very Large Data Bases, 1994. [2] Y. Y. Ahn, S. E. Ahnert, J. P. Bagrow, and A. L. Barabási, Flavor network and the principles of food pairing. Scientific Reports 1, 2011. [3] S. Amano, K. Aizawa, and M. Ogawa, Food category representatives: extracting categories from meal names in food recordings and recipe data. IEEE International Conference on Multimedia Big Data, 2015. [4] Z. Bar-Yossef and N. Kraus, Context-sensitive query auto-completion. Proceedings of the 20th International Conference on World Wide Web, 2011. [5] A. Blansché, J. Cojan, V. Dufour Lussier, J. Lieber, P. Molli, E. Nauer, H. Skaf Molli, and Y. Toussaint, Taaable 3: adaptation of ingredient quantities and of textual preparations. Proceedings of 18th Internatonal Conference on Case-Based Reasoning Workshop, 2010. [6] D. M. Blei, A. Y. Ng, and M. I. Jordan, Latent dirichlet allocation. Journal of Machine Learning Research. [7] C. Boscarino, N. J. Koenderink, V. Nedović, and J. L. Top, Automatic extraction of ingredient`s substitutes. Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication, 2014. [8] F. Cai and M. De Rijke, Learning from homologous queries and semantically related terms for query auto completion. Information Processing & Management, 52(4), 2016. [9] C.-C. Chang and C.-J. Lin, LIBSVM: a library for support vector machines. ACM Transactions on Intelligent Systems and Technology, 2(3) 2011. [10] M. De Clercq and W. Waegeman, Prediction of Ingredient Combinations using Machine Learning Techniques. Master Thesis, Ghent University, 2014. [11] S. C. Deerwester, S. T. Dumais, T. K. Landauer, G. W. Furnas, and R. A. Harshman, Indexing by latent semantic analysis. Journal of the American Society for Information Science, 41(6), 1990. [12] V. Dufour Lussier, J. Lieber, E. Nauer, and Y. Toussaint, Text Adaptation using Formal Concept Analysis. In Case-Based Reasoning. Research and Development, Springer, 2010. [13] P. Forbes and M. Zhu, Content-Boosted Matrix Factorization for Recommender Systems: Experiments with Recipe Recommendation. Proceedings of the 5th ACM Conference on Recommender Systems, 2011. [14] J.-Y. Jiang, Y.-Y. Ke, P.-Y. Chien, and P.-J. Cheng, Learning User Reformulation Behavior for Query Auto-Completion. Proceedings of the 37th ACM SIGIR Conference on Research & Development in Information Retrieval, 2014. [15] S. S. Khan and M. G. Madden, A Survey of Recent Trends in One Class Classification. Irish Conference on Artificial Intelligence and Cognitive Science, 2009. [16] F. F. Kuo, C. T. Li, M. K. Shan, and S. Y. Lee, Intelligent Menu Planning: Recommending Set of Recipes by Ingredients. Proceedings of the ACM Multimedia Workshop on Multimedia for Cooking and Eating Activities, 2012. [17] H. Larkin and D. Bridge, Subs and Sandwiches: Replacing One Ingredient by Another. Workshop Programme of the 22nd International Conference on Case-Based Reasoning, 2014. [18] Z. Liao, D. Jiang, E. Chen, J. Pei, H. Cao, and H. Li, Mining Concept Sequences from Large-Scale Search Logs for Context-Aware Query Suggestion. ACM Transactions on Intelligent Systems and Technology, 3(1), 2011. [19] A. L. Maas and A. Y. Ng, A Probabilistic Model for Semantic Word Vectors. NIPS Workshop on Deep Learning and Unsupervised Feature Learning, 2010. [20] C. D. Manning, M. Surdeanu, J. Bauer, J. Finkel, S. J. Bethard, and D. Mcclosky, The Stanford Corenlp Natural Language Processing Toolkit. Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2014. [21] J. Mcauley, R. Pandey, and J. Leskovec, Inferring Networks of Substitutable and Complementary Products. Proceedings of the 21th ACM International Conference on Knowledge Discovery and Data Mining, 2015. [22] T. D. Nguyen, D. T. N. Nguyen, and Y. Kiyoki, A Regional Food`s Features Extraction Algorithm and Its Application. Proceedings of the 5th International Workshop on Multimedia for Cooking & Eating Activities, 2013. [23] Y. Seki and K. Ono, Discriminating Practical Recipes Based on Content Characteristics in Popular Social Recipes. Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication, 2014. [24] Y. Shidochi, T. Takahashi, I. Ide, and H. Murase, Finding Replaceable Materials in Cooking Recipe Texts Considering Characteristic Cooking Actions. Proceedings of the ACM Multimedia Workshop on Multimedia for Cooking and Eating Activities, 2009. [25] M. Shokouhi and K. Radinsky, Time-Sensitive Query Auto-Completion. Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2012. [26] T. H. Silva, P. O. De Melo, J. Almeida, M. Musolesi, and A. Loureiro, You are What You Eat (and Drink): Identifying Cultural Boundaries by Analyzing Food & Drink Habits in Foursquare. Proceedings of 8th AAAI International Conference on Weblogs and Social Media, 2014. [27] D. M. Tax, One-Class Classification. Ph.D Thesis, Delft University of Technology, 2001. [28] C. Y. Teng, Y. R. Lin, and L. A. Adamic, Recipe Recommendation using Ingredient Networks. Proceedings of the 4th Annual ACM Web Science Conference, 2012. [29] W. G. Teng, M. J. Hsieh, and M. S. Chen, A Statistical Framework for Mining Substitution Rules. Knowledge and Information Systems, 7(2), 2005. [30] K. Walter, M. Minor, and R. Bergmann, Workflow Extraction from Cooking Recipes. Proceedings of the International Conference on Case-Based Reasoning Workshops, 2011. [31] R. West, R. W. White, and E. Horvitz, From Cookies to Cooks: Insights on Dietary Patterns via Analysis of Web Usage Logs. Proceedings of the 22nd International Conference on World Wide Web, 2013. [32] S. Whiting and J. M. Jose, Recent and Robust Query Auto-Completion. Proceedings of the 23rd International Conference on World Wide Web, 2014. [33] M. Wiegand, B. Roth, and D. Klakow, Knowledge Acquisition with Natural Language Processing in the Food Domain: Potential and Challenges. Proceedings of the ECAI-Workshop on Cooking with Computers, 2012. [34] S. Yokoi, K. Doman, T. Hirayama, I. Ide, D. Deguchi, and H. Murase, Typicality Analysis of the Combination of Ingredients in a Cooking Recipe for Assisting the Arrangement of Ingredients. IEEE International Conference on Multimedia & Expo Workshops, 2015. [35] 呂耀茹, 《由食譜資料探勘料理特徵樣式》. 國立政治大學資訊科學系碩士論文, 2016. |