Towards the Next Generation of Recommendation Systems: A study on how prefernce construction and persoanlity influence users' need for recommendation diversity

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Keywords	e-commerce, recommendation system, personality based recommendation szstem, consumers' need for uniqueness, visual recommender
Thesis Advisor	Tsekouras, D., Li, Ting
Persistent URL	hdl.handle.net/2105/49141
Series	Business Information Management
Organisation	Rotterdam School of Management
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Baysal, Ilke. (2019, August 22). Towards the Next Generation of Recommendation Systems: A study on how prefernce construction and persoanlity influence users' need for recommendation diversity. Business Information Management. Retrieved from http://hdl.handle.net/2105/49141

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