Most existing collaborative filtering techniques have focused on modeling the binary relation
of users to items by extracting from user ratings. Aside from users' ratings, their affiliated …

An essential prerequisite of an effective recommender system is providing helpful
information regarding users and items to generate high-quality recommendations. Written …

The bipartite graph is a ubiquitous data structure that can model the relationship between
two entity types: for instance, users and items, queries and webpages. In this paper, we …

Data Analytics is widely used in many industries and organization to make a better Business
decision. By applying analytics to the structured and unstructured data the enterprises brings …

In recent years, the use of trust-based recommendation systems to predict the scores of
items not rated by users has attracted many researchers' interest. Accordingly, they create a …

With the incessant growth of web services on the Internet, how to design effective web
service recommendation technologies based on Quality of Service (QoS) is becoming more …

Traditional recommendation approaches for the mobile Apps basically depend on the Apps
related features. Now a days many users are in quench of Apps recommendation based on …

With the incessant growth of Web services on the Internet, designing effective Web service
recommendation technologies based on Quality of Service (QoS) is becoming more and …

Recent work shows that incorporating tag information to recommender systems is promising
for improving the recommendation accuracy in social systems. However, existing …

P2P lending is a burgeoning online service that allows individuals to directly borrow money
from each other. In these platforms, each loan has a specific duration for raising money from …