Recommending Customizable Products-Reference-Cited by-同舟云学术

Recommending Customizable Products

Published:2015-07-13 Issue: Volume: Page:
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Container-title:Proceedings of the 5th International Conference on Web Intelligence, Mining and Semantics
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Author:

Sivaramakrishnan Aravind¹,Krishnamachari Madhusudhan¹,Balasubramanian Vidhya¹

Affiliation:

1. Department of Computer Science & Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham (University), Coimbatore, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2797115.2797116

Reference19 articles.

1. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions

2. An introduction to kernel and nearest-neighbor nonparametric regression;Altman N. S.;The American Statistician,1992

3. R. Baeza-Yates B. Ribeiro-Neto etal Modern information retrieval volume 463. ACM press New York 1999. R. Baeza-Yates B. Ribeiro-Neto et al. Modern information retrieval volume 463. ACM press New York 1999.

4. A fast algorithm for the linear multiple-choice knapsack problem

5. L. Gao. A product recommendation algorithm based on knapsack optimization. 2012. L. Gao. A product recommendation algorithm based on knapsack optimization. 2012.

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