Cosine Based Latent Factor Model for Precision Oriented Recommendation
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 1
Abstract
Recommender systems suggest a list of interesting items to users based on their prior purchase or browsing behaviour on e-commerce platforms. The continuing research in recommender systems have primarily focused on developing algorithms for rating prediction task. However, most e-commerce platforms provide ‘top-k’ list of interesting items for every user. In line with this idea, the paper proposes a novel machine learning algorithm to predict a list of ‘top-k’ items by optimizing the latent factors of users and items with the mapped scores from ratings. The basic idea is to learn latent factors based on the cosine similarity between the users and items latent features which is then used to predict the scores for unseen items for every user. Comprehensive empirical evaluations on publicly available benchmark datasets reveal that the proposed model outperforms the state-of-the-art algorithms in recommending good items to a user.
Authors and Affiliations
Bipul Kumar, Pradip Bala, Abhishek Srivastava
Keywords
Related Articles
- EP ID EP106763
- DOI 10.14569/IJACSA.2016.070161
- Views 116
- Downloads 0
User Perspective on External Value Creation Factors in Indonesia e-Commerce
Value creation is very important for the e-commerce companies in order to reach customers and increase company's value in the view of customer. Value creation mostly developed based on internal factor of the company. Thi...
D-MFCLMin: A New Algorithm for Extracting Frequent Conceptual Links from Social Networks
Massive amounts of data in social networks have made researchers look for ways to display a summary of the information provided and extract knowledge from them. One of the new approaches to describe knowledge of the soci...
Privacy Concerns in Online Social Networks: A Users’ Perspective
Social networking has elevated the human life to the heights of interaction, response and content sharing. It has been offering state of the art facilities to its users for a long time. Though, over the period of time, t...
Towards Implementing Framework to Generate Myopathic Signals
In this paper, we describe a simulation system of myopathicsurface electromyography (sEMG) signals. The architecture of the proposed system consists of two cascading modules. SEMG signals of three pathological skeletal m...
Formal Verification of a Secure Model for Building E-Learning Systems
Internet is considered as common medium for E-learning to connect several parties with each other (instructors and students) as they are supposed to be far away from each other. Both wired and wireless networks are used...