The recommendation algorithm for an online art gallery

• Autorzy: Karwowski W. , Sosnowska J. , Rusek M.

Identyfikatory

DOI

10.22630/ISIM.2018.7.2.10

• 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.

Słowa kluczowe

EN

algorithms; recommender system; collaborative filtering

• Wydawca: Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
• Czasopismo: Information Systems in Management
• Rocznik: 2018
• Tom: Vol. 7, No. 2
• Strony: 108--119
• Opis fizyczny: Bibliogr. 13 poz., rys., tab.

Twórcy

autor

Karwowski W.

• Department of Informatics, Warsaw University of Life Sciences (SGGW)

autor

Sosnowska J.

• Department of Informatics, Warsaw University of Life Sciences (SGGW)

autor

Rusek M.

• Department of Informatics, Warsaw University of Life Sciences (SGGW)

Bibliografia

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• [5] Strother J. B., Ulijn J. M., Fazal Z. (2012) Information Overload. An International Challenge for Professional Engineers and Technical Communicators, John Wiley & Sons.
• [6] Melville P., Sindhwani V. (2010) Recommender Systems. Encyclopedia of Machine Learning, Springer.
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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 AdaptiveWeb. Springer Berlin / Heidelberg 377–408.
• [11] Sosnowska J. (2016) Recommender system for an online art gallery, MSc thesis, Warsaw University of Life Sciences.
• [12] Burke R. (1999) Integrating Knowledge-based and Collaborative-filtering Recommender Systems. AAAI Technical Report WS-99-01.
• [13] Linden G., Smith B., York J. (2003) Amazon.com Recommendations. Item-to-item collaborative filtering. IEEE Internet Computing. January-February 2003.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).