Effective Hybrid Content-Based Collaborative Filtering Approach for Requirements Engineering

Collaborative Filtering Based Hybrid Approach for Web Service Recommendations

Now a days, Web services are becoming the primary source for constructing software system over Internet. The quality of whole system greatly dependents on the QoS of single web service, so QoS information is an important indicator for service selection. But in reality, QoSs of some Web Services may be unavailable for users. How to predicate the missing QoS value of Web service through fully usi...

A Hybrid Collaborative Filtering Approach for Recommendations

Collaborative recommender system has been an important and popular approach in making recommendations. However, it suffers with the cold start and sparsity problems. Therefore, to alleviate the problems, we have combined a set similarity and user evaluation method in collaborative filtering by introducing some additional weight parameters. Further, we optimize these parameters by Particle Swarm...

Intelligent Approach for Attracting Churning Customers in Banking Industry Based on Collaborative Filtering

During the last years, increased competition among banks has caused many developments in banking experiences and technology, while leading to even more churning customers due to their desire of having the best services. Therefore, it is an extremely significant issue for the banks to identify churning customers and attract them to the banking system again. In order to tackle this issue, this pa...

Combining Content-Based and Collaborative Filtering

Joining Collaborative and Content-based Filtering

Different authors have proposed combining content-based and collaborative attributes in a single table. In this article, we try out a different approach. We propose not to merge the two tables, but to join them as if they were tables in a relational database. As a result, we get several new application cases and a system architecture that supports the formulation of universal queries.