Clustering for closely similar recipes to extract spam recipes in user-generated recipe sites-Reference-Cited by-同舟云学术

Clustering for closely similar recipes to extract spam recipes in user-generated recipe sites

Published:2015-12-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services
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Author:

Hanai Shunsuke¹,Nanba Hidetsugu²,Nadamoto Akiyo¹

Affiliation:

1. Konan University, Higashinada-ku Kobe, Japan

2. Hiroshima City University, Hiroshima, Japan

Funder

Japan Society for the Promotion of Science

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2837185.2837269

Reference13 articles.

1. Content-boosted matrix factorization for recommender systems

2. A personalized recipe advice system to promote healthful choices

3. You Are What You Eat: Learning User Tastes for Rating Prediction

4. A proposal of calculation method of surprising value of recipe based on ingredient. Proceedings of IEICE technical report;Ikejiri K.;Data engineering,2013

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