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Fuzzy Similarity Matching Method for Interior Design Drawing Recommendation

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  • Kuo-Sui Lin

    (Aletheia University)

Abstract

A cosine similarity matching method for a binary measurement scale was proposed and applied to a recommender system in our previous study for retrieving interior design drawings. However, for mixed types of intervals, nominal, ordinal, or ratio scales, this matching method fails, as the cosine similarity measure function is not defined for ordinal and nominal values. Compared to our previous study, this paper proposes a new fuzzy similarity matching method for mixed measurement scales and applies the matching method to a recommender system. A numerical case study was carried out to demonstrate the effectiveness and capabilities of the proposed similarity matching method for handling interior design drawing recommendation problems.

Suggested Citation

  • Kuo-Sui Lin, 2016. "Fuzzy Similarity Matching Method for Interior Design Drawing Recommendation," The Review of Socionetwork Strategies, Springer, vol. 10(1), pages 17-32, June.
    • Handle: RePEc:spr:trosos:v:10:y:2016:i:1:d:10.1007_s12626-016-0061-z
    DOI: 10.1007/s12626-016-0061-z
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    Cited by:

    1. Shivam Poddar & Mahima Priya & Moupriya Ghosh & Abhishek Kumar Singh & Shatrudhan Pandey, 2024. "Circular Economy Integration in the Indian FMCG Supply Chain: Unveiling Strategic Hurdles and Pathways to Sustainable Transformation," Circular Economy and Sustainability, Springer, vol. 4(3), pages 2147-2167, September.

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