On a Novel Algorithm for Digital Resource Recommender Systems

Ghanbari Amoughin R (2019)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2019

Pages Range: 418-425

DOI: 10.1007/978-3-030-33495-6_32


By increasing the use of users from online resource websites, we need a promising smart recommendation system for high-volume data which has been provided by high-speed service. A lot of research has been done to improve this trend in recent years. Undoubtedly, machine learning has played a main role and has created growing trend in proposer systems evolution. We can point to hybrid recommender systems and content based and collaborative filtering. Different data structures may be used in these methods and we intend to present a new method based on a tree data structure called ckd-tree. We compare this algorithm to different models with different data sets and we got that this algorithm provides a better result for a large system with massive data sets in comparison with other methods. This can be more valuable and also it would be an alternative to common methods like kd-tree.

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How to cite


Ghanbari Amoughin, R. (2019). On a Novel Algorithm for Digital Resource Recommender Systems. (pp. 418-425).


Ghanbari Amoughin, Reza. "On a Novel Algorithm for Digital Resource Recommender Systems." 2019. 418-425.

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