Research on Recommendation Algorithm Based on User’s Attributes and Score Similarity Factors

A New Similarity Measure Based on Item Proximity and Closeness for Collaborative Filtering Recommendation

Recommender systems utilize information retrieval and machine learning techniques for filtering information and can predict whether a user would like an unseen item. User similarity measurement plays an important role in collaborative filtering based recommender systems. In order to improve accuracy of traditional user based collaborative filtering techniques under new user cold-start problem a...

Research on recommendation algorithm based on unified model with explicit and latent factors

Recommendation algorithm is one of the major approaches to solve the information overload problem. The core task is to model and predict users’ preference. The algorithms based on the latent factor model have been made a great success recently. However, data sparseness could lead to the incompleteness of the factors in this completely data-driven modeling. To address this issue, this paper leve...

Interdisciplinary Collaborator Recommendation Based on Research Content Similarity

Most existing methods on research collaborator recommendation focus on promoting collaboration within a specific discipline and exploit a network structure derived from co-authorship or co-citation information. To find collaboration opportunities outside researchers’ own fields of expertise and beyond their social network, we present an interdisciplinary collaborator recommendation method based...

Recommendation algorithm on Academic research

A novel image thresholding algorithm based on neutrosophic similarity score

Image thresholding is an important field in image processing. It has been employed to segment the images and extract objects. A variety of algorithms have been proposed in this field. However, these methods perform well on the images without noise, and their results on the noisy images are not good. Neutrosophic set (NS) is a new general formal framework to study the neutralities' origin, natur...