Classification-based Deep Neural Network Architecture for Collaborative Filtering Recommender Systems
نویسندگان
چکیده
منابع مشابه
Tag Based Collaborative Filtering for Recommender Systems
Collaborative tagging can help users organize, share and retrieve information in an easy and quick way. For the collaborative tagging information implies user’s important personal preference information, it can be used to recommend personalized items to users. This paper proposes a novel tag-based collaborative filtering approach for recommending personalized items to users of online communitie...
متن کاملA Scalable Ensemble Architecture for Collaborative Filtering in Recommender Systems
Matrix decomposition methods are extensively used for Collaborative Filtering in Recommender Systems. This research work investigates the effectiveness of various Matrix decomposition methods for Collaborative Filtering (CF) to predict recommendations. There is a tradeoff between the scalability and quality of predictions; Recommendations made by Singular Value Decomposition (SVD) based algorit...
متن کاملCollaborative Filtering Recommender Systems
One of the potent personalization technologies powering the adaptive web is collaborative filtering. Collaborative filtering (CF) is the process of filtering or evaluating items through the opinions of other people. CF technology brings together the opinions of large interconnected communities on the web, supporting filtering of substantial quantities of data. In this chapter we introduce the c...
متن کاملCollaborative Filtering Recommender Systems
Recommender systems are an important part of the information and e-commerce ecosystem. They represent a powerful method for enabling users to filter through large information and product spaces. Nearly two decades of research on collaborative filtering have led to a varied set of algorithms and a rich collection of tools for evaluating their performance. Research in the field is moving in the d...
متن کاملCollaborative Filtering Recommender Systems
Recommender Systems are software tools and techniques for suggesting items to users by considering their preferences in an automated fashion. The suggestions provided are aimed at support users in various decisionmaking processes. Technically, recommender system has their origins in different fields such as Information Retrieval (IR), text classification, machine learning and Decision Support S...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Interactive Multimedia and Artificial Intelligence
سال: 2020
ISSN: 1989-1660
DOI: 10.9781/ijimai.2020.02.006