Publisher
Springer Science and Business Media LLC
Reference22 articles.
1. Abraham M, Mitchelmore S, Collin S, Maness J, Kistulinec M, Khodabandeh S,Visser J (2017) Profiting from Personalization. https://www.bcg.com/publications/2017/retail-marketing-sales-profiting-personalization.aspx
2. Ahn H.J (2007). A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem. Information Sciences. ELSEVIER
3. Basiri J, Shakery A, Moshiri B, Hayat MZ (2010) Alleviating the cold-start problem of recommender system using a new hybrid approach. In: 5th international symposium on telecommunication.
4. Eckhardt S (2018) Promise and Peril for Machine Learning at Netflix. https://digital.hbs.edu/platform-rctom/submission/promise-and-peril-for-machine-learning-at-netflix/
5. Gao L, Huang M (2015) A Collaborative filtering recommendation algorithm with time adjusting based on atrribute center of gravity model. Web information system and application conference.
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