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"How does Netflix know just what to suggest you watch next? How does Amazon determine what a "customer like you" has also purchased? The answer is recommender systems, the technological concept that lies at the heart of most of the successful companies in the digital economy. Mi…
"How does Netflix know just what to suggest you watch next? How does Amazon determine what a "customer like you" has also purchased? The answer is recommender systems, the technological concept that lies at the heart of most of the successful companies in the digital economy. Mi…
This book initiates a transformation of the Web into a self-managing, autonomous information system to challenge today's all-embracing role of big search engines as centralized information managers. In the last decades, the World Wide Web became the biggest source for all kinds …
Music recommendation systems are becoming more and more popular. The increasing amount of personal data left by users on social media contributes to more accurate inference of the user's musical preferences and the same to quality of personalized systems. Health recommendation s…
In recent years, there has been a rapid growth of location-based social networking services, such as Foursquare and Facebook Places, which have attracted an increasing number of users and greatly enriched their urban experience. Typical location-based social networking sites all…
Recommender systems: algorithms and applications
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Type: Book
Recommender systems: algorithms and applications
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Type: Book
Recommender systems use information filtering to predict user preferences. They are becoming a vital part of e-business and are used in a wide variety of industries, ranging from entertainment and social networking to information technology, tourism, education, agriculture, heal…
Recommender systems: algorithms and applications
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Type: Book
Recommender systems use information filtering to predict user preferences. They are becoming a vital part of e-business and are used in a wide variety of industries, ranging from entertainment and social networking to information technology, tourism, education, agriculture, heal…
The recommendation of products, content and services cannot be considered newly born, although its widespread application is still in full swing. While its growing success in numerous sectors, the progress of the Social Web has revolutionized the architecture of participation an…
The recommendation of products, content and services cannot be considered newly born, although its widespread application is still in full swing. While its growing success in numerous sectors, the progress of the Social Web has revolutionized the architecture of participation an…
The recommendation of products, content and services cannot be considered newly born, although its widespread application is still in full swing. While its growing success in numerous sectors, the progress of the Social Web has revolutionized the architecture of participation an…
Recommender systems handbook
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Type: Book
This volume is a multi-disciplinary effort that involves world-wide experts from diverse fields, such as artificial intelligence, human computer interaction, information technology, data mining, statistics, adaptive user interfaces, decision support systems, marketing, and consu…
The increase in the volumes of data creates new challenges that require novel and more efficient solutions to handle big data and scalability issues. Today we are witnessing advances in many areas that are dependent on recommender systems such as social networks, e-commerce webs…
Recommender system with machine learning and artificial intelligence: practical tools and applications in medical, agri…
by Mohanty, Sachi Nandan, Chatterjee, Jyotir Moy, Elngar, Ahmed A., Jain, Sarika, Gupta, Priya, (Professor of computer science)
fromMachine learning in biomedical science and healthcare infor…
0
Type: Book
"The explosive growth of e-commerce and online environments has made the issue of information search and selection increasingly serious; users are overloaded by options to consider and they may not have the time or knowledge to personally evaluate these options. Recommender syst…
"The explosive growth of e-commerce and online environments has made the issue of information search and selection increasingly serious; users are overloaded by options to consider and they may not have the time or knowledge to personally evaluate these options. Recommender syst…
An introduction to basic concepts on recommender systems / Pooja Rana, Nishi Jain and Usha Mittal -- A brief model overview of personalized recommendation to citizens in the health-care industry / Subhasish Mohapatra and Kunal Anand -- 2Es of TIS : a review of information exchan…
"The explosive growth of e-commerce and online environments has made the issue of information search and selection increasingly serious; users are overloaded by options to consider and they may not have the time or knowledge to personally evaluate these options. Recommender syst…