The Recommendation Algorithm for an Online Art Gallery

• Autorzy: Waldemar Karwowski , Joanna Sosnowska , Marian Rusek
• Języki publikacji: EN

Abstrakty

EN

The paper discusses the need for recommendations and the basic recommendation systems and algorithms. In the second part the design and implementation of the recommender system for online art gallery (photos, drawings, and paintings) is presented. The designed customized recommendation algorithm is based on collaborative filtering technique using the similarity between objects, improved by information from user profile. At the end conclusions of performed algorithm are formulated. (original abstract)

Słowa kluczowe

EN

Algorithms; Recommender system

PL

Algorytmy; System rekomendujący

• Czasopismo: Information Systems in Management
• Rocznik: 2018
• Tom: 7
• Numer: nr 2
• Strony: 108--119

Twórcy

autor

Waldemar Karwowski

• Warsaw University of Life Sciences (SGGW)

autor

Joanna Sosnowska

• Warsaw University of Life Sciences (SGGW)

autor

Marian Rusek

• Warsaw University of Life Sciences (SGGW)

Bibliografia

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• [8] Ricci F., Rokach L., Shapira B., Kantor P.B. (2010) Recommender Systems Handbook, Springer.
• [9] Tran T. (2007) Combining Collaborative Filtering and Knowledge-Based Approaches for Better Recommendation System. Journal of Business and Technology.
• [10] Burke, R. (2007) Hybrid web recommender systems. In: The Adaptive Web. Springer Berlin / Heidelberg, 377-408.
• [11] Sosnowska J. (2016) Recommender system for an online art gallery, MSc thesis, Warsaw University of Life Sciences.
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Identyfikatory

DOI

10.22630/ISIM.2018.7.2.10