{"product_id":"9781032333229-recommender-systems","title":"Recommender Systems","description":"\u003cmeta content=\"text\/html; charset=utf-8\" http-equiv=\"Content-Type\"\u003e\u003cp\u003e\u003cspan\u003eA Multi-Disciplinary Approach\u003cbr\u003eThis book presents a multi-disciplinary approach for development of Recommender Systems. It explains different types of pertinent algorithms with their comparative analysis, and their role for different applications including case studies. It explains Big Data behind Recommender System, making good decision support systems, etc.\u003cbr\u003e\u003cp\u003e\u003cem\u003eRecommender Systems: A Multi-Disciplinary Approach\u003c\/em\u003e presents a multi-disciplinary approach for the development of recommender systems. It explains different types of pertinent algorithms with their comparative analysis and their role for different applications. This book explains the big data behind recommender systems, the marketing benefits, how to make good decision support systems, the role of machine learning and artificial networks, and the statistical models with two case studies. It shows how to design attack resistant and trust-centric recommender systems for applications dealing with sensitive data. \u003c\/p\u003e\n\u003cp\u003eFeatures of this book:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eIdentifies and describes recommender systems for practical uses\u003c\/li\u003e\n\u003cli\u003eDescribes how to design, train, and evaluate a recommendation algorithm\u003c\/li\u003e\n\u003cli\u003eExplains migration from a recommendation model to a live system with users\u003c\/li\u003e\n\u003cli\u003eDescribes utilization of the data collected from a recommender system to understand the user preferences\u003c\/li\u003e\n\u003cli\u003eAddresses the security aspects and ways to deal with possible attacks to build a robust system\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eThis book is aimed at researchers and graduate students in computer science, electronics and communication engineering, mathematical science, and data science.\u003c\/p\u003e\n\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Rarewaves","offers":[{"title":"Default Title","offer_id":54866718458230,"sku":"9781032333229","price":59.19,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0092\/7504\/8033\/files\/orig_31762706.jpg?v=1734596422","url":"https:\/\/www.rarewaves.com\/products\/9781032333229-recommender-systems","provider":"Rarewaves.com","version":"1.0","type":"link"}