Identifying User Profile by Incorporating Self-Attention Mechanism based on CSDN Data Set

Similar User Clustering based on MovieLens Data Set

General recommender algorithms compose persomalized recommendrations based on similar users. In this paper, we present new social clustering method. Based on this method we cluster similar users belonging to the social recommender network. The social recommender network is generated from the data set of MovieLens. Through the presented similar user clustering method, we effectively compose simi...

Weighted Self-Organizing Maps: Incorporating User Feedback

One interesting way of accessing collections of multimedia objects is by methods of visualization and clustering. Growing self-organizing maps provide such a solution, which adapts automatically to the underlying database. Unfortunately, the result of the clustering greatly depends on the definition of the describing features and the used similarity measure. In this paper, we present a general ...

Identifying user habits through data mining on call data records

In this paper we propose a framework for identifying patterns and regularities in the pseudoanonymized Call Data Records (CDR) pertaining a generic subscriber of a mobile operator. We face the challenging task of automatically deriving meaningful information from the available data, by using an unsupervised procedure of cluster analysis and without including in the model any apriori knowledge o...

User Group Profile Modeling Based on User Transactional Data for Personalized Systems

In this paper, we propose a framework named UMT (User-profile Modeling based on Transactional data) for modeling user group profiles based on the transactional data. UMT is a generic framework for application systems that keep the historical transactions of their users. In UMT, user group profiles consist of three types: basic information attributes, synthetic attributes and probability distrib...

Set-Based User Interaction