37 p. The textbook【特荐-PPT】 294 p. Beyond the Textbook 3 p. comments on the textbook 18 p. textbook of rapid response systems 8 p. Expert systems in the accounting curriculum A textbook review 发表评论 验证码: 换一张 匿名评论 提交 关于...
Among other things, automated recommender systems determine which posts from our contacts in a social network we read, suggest which items we could buy from e-commerce sites, bias our perception of the world around us by ranking the news according to our revealed preferences in the past, ...
Recommender Systems || An Introduction to Recommender Systems In: Recommender Systems: The Textbook. Cham: Springer International Publishing, 2016, pp. 225-254. ISBN: 978-3- 319-29659-3. DOI: 10.1007/978-3-319-29659-3_7. URL: http://dx.doi.org/ 10.1007/978-3-319-29659-3_7... Agga...
A lot of information came from this paper by Chai and Drexler,https://www.geosci-model-dev.net/7/1247/2014/gmd-7-1247-2014.pdf and from a discussion in chapter 7 ofRecommender Systems: The Textbookby Charu Aggarwal. Data Science
Y. Koren. The Bellkor solution to the Netflix grand prize.Netflix prize documentation, 81, 2009.http://www.netflixprize.com/assets/GrandPrize2009_BPC_BellKor.pdf J.-S. Lee and S. Olafsson. Two-way cooperative prediction for collaborative filtering recommendations.Expert Systems with Applications...
Bayesian classifiers are discussed, in general, in the textbook of Duda & Hart, “Pattern Recognition and Scene Analysis” (John Wiley & Sons 1973). An application of Bayesian classifiers to document retrieval is discussed in “Learning Probabilistic User Models”, by D. Billsus & M. Pazzani...
Recommender Systems: The Textbook; Springer: Berlin/Heidelberg, Germany, 2016; pp. 139–166. [Google Scholar] Geetha, G.; Safa, M.; Fancy, C.; Saranya, D. A hybrid approach using collaborative filtering and content based filtering for recommender system. J. Phys. Conf. Ser. 2018, 1000...