Czasopismo
Tytuł artykułu
Warianty tytułu
Języki publikacji
Abstrakty
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
Czasopismo
Rocznik
Tom
Numer
Strony
108--119
Opis fizyczny
Twórcy
autor
- Warsaw University of Life Sciences (SGGW)
autor
- Warsaw University of Life Sciences (SGGW)
autor
- Warsaw University of Life Sciences (SGGW)
Bibliografia
- [1] O'Reilly T. (2005) What is Web 2.0, http://www.oreilly.com/pub/a/web2/archive/what-is-web-20.html.
- [2] Rich E. (1999) User Modeling via Stereotypes, Cognitive Science Volume 3, Issue 4 October 1979, 329-354.
- [3] Goldberg D., Nichols D., Oki B.M., and Terry D. (1992) Using collaborative filtering to weave an information tapestry, Communications of the ACM, vol. 35, no. 12, 61-70.
- [4] Resnick P., Iacovou N., Suchak M., Bergstrom P., and Riedl J. (1994) GroupLens: an open architecture for collaborative filtering of netnews, in ACM CSCW '94, 175-186.
- [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.
- [7] Rashid A.M., Albert I., Cosley D., Lam S.K., McNee S.M., Konstan J.A. et al. (2002) Getting to know you: learning new user preferences in recommender systems. In: Proceedings of the international conference on intelligent user interfaces, 127-34.
- [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.
- [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.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171516840