AN EFFICIENT PRODUCT RECOMMENDATION SYSTEM USING BLOCK CHAIN  BASED ON  COLLABRATIVE FILTERING

PRIYANKA.S.V; RAMYA.N; SWETHA.G; SWETHA.S

AN EFFICIENT PRODUCT RECOMMENDATION SYSTEM USING BLOCK CHAIN BASED ON COLLABRATIVE FILTERING

March 2020

Vol-6, Issue-2

Paper ID: 11716

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Science and Engineering

Keywords

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Abstract

The Web creates excellent opportunities for businesses to provide personalized online Services to their customers. Recommender systems aim to automatically generate personalized suggestions of products/services to customers (business or individual). Although recommender systems have been well studied, there are still two challenges in the development of a recommender system, particularly in real-world B2B e-services. In Proposed a recommendation technique utilizing the fast diffusion and information sharing capability of a large customer network. This system implemented a GRS based on opinion dynamics that considers these relationships using a smart weights matrix to drive the process. In GRSs, a recommendation is usually computed by a simple aggregation method for individual information the proposed method [described as the customer-driven recommender system (CRS)] follows the collaborative filtering (CF) principle but performs distributed and local searches for similar neighbors over a customer network in order to generate a recommendation list.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	PRIYANKA.S.V	T.J.S ENGINEERGING COLLEGE
2	RAMYA.N	T.J.S ENGINEERGING COLLEGE
3	SWETHA.G	T.J.S ENGINEERGING COLLEGE
4	SWETHA.S	T.J.S ENGINEERGING COLLEGE

How to Cite

Use the following formats to cite this article in your research.

APA Style

PRIYANKA.S.V, RAMYA.N, SWETHA.G, & SWETHA.S (2020). AN EFFICIENT PRODUCT RECOMMENDATION SYSTEM USING BLOCK CHAIN BASED ON COLLABRATIVE FILTERING. International Journal of Advance Research and Innovative Ideas In Education, 6(2), 1226-1232.

MLA Style

PRIYANKA.S.V, et al. "AN EFFICIENT PRODUCT RECOMMENDATION SYSTEM USING BLOCK CHAIN BASED ON COLLABRATIVE FILTERING." International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 2, 2020, pp. 1226-1232.

IEEE Style

PRIYANKA.S.V, RAMYA.N, SWETHA.G, and SWETHA.S, "AN EFFICIENT PRODUCT RECOMMENDATION SYSTEM USING BLOCK CHAIN BASED ON COLLABRATIVE FILTERING," International Journal of Advance Research and Innovative Ideas In Education, vol. 6, no. 2, pp. 1226-1232, 2020.

Vancouver Style

PRIYANKA.S.V, RAMYA.N, SWETHA.G, SWETHA.S. AN EFFICIENT PRODUCT RECOMMENDATION SYSTEM USING BLOCK CHAIN BASED ON COLLABRATIVE FILTERING. International Journal of Advance Research and Innovative Ideas In Education. 2020;6(2):1226-1232.

Harvard Style

PRIYANKA.S.V, RAMYA.N, SWETHA.G, & SWETHA.S (2020) 'AN EFFICIENT PRODUCT RECOMMENDATION SYSTEM USING BLOCK CHAIN BASED ON COLLABRATIVE FILTERING', International Journal of Advance Research and Innovative Ideas In Education, 6(2), pp. 1226-1232.

Chicago Style

PRIYANKA.S.V, et al. "AN EFFICIENT PRODUCT RECOMMENDATION SYSTEM USING BLOCK CHAIN BASED ON COLLABRATIVE FILTERING." International Journal of Advance Research and Innovative Ideas In Education 6, no. 2 (2020): 1226-1232.

Turabian Style

PRIYANKA.S.V, et al. "AN EFFICIENT PRODUCT RECOMMENDATION SYSTEM USING BLOCK CHAIN BASED ON COLLABRATIVE FILTERING." International Journal of Advance Research and Innovative Ideas In Education 6, no. 2 (2020): 1226-1232.