A Customized Non-Exclusive Clustering Algorithm for News Recommendation Systems
نویسندگان
چکیده
منابع مشابه
A partition-based algorithm for clustering large-scale software systems
Clustering techniques are used to extract the structure of software for understanding, maintaining, and refactoring. In the literature, most of the proposed approaches for software clustering are divided into hierarchical algorithms and search-based techniques. In the former, clustering is a process of merging (splitting) similar (non-similar) clusters. These techniques suffered from the drawba...
متن کاملAn Effective Recommendation Algorithm for Clustering-Based Recommender Systems
In this paper we present an effective recommendation algorithm using a refined neighbor selection and attributes information on the goods. The proposed algorithm exploits the transitivity of similarities using a graph approach. The algorithm also utilizes the attributes of the items. The experiment results show that the recommendation system with the proposed algorithm outperforms other systems...
متن کاملA Recommendation Algorithm Using Hybrid Clustering
Recommendation algorithms apply knowledge discovery techniques to the problem of making product recommendation during a live interaction and achieving widespread success in Ecommerce nowadays. With the magnitudes of users and items grow rapidly, resulting in the extreme sparsity of user rating data and the decreasing of real time performance. To solve the problem, the paper proposed a personali...
متن کاملa new type-ii fuzzy logic based controller for non-linear dynamical systems with application to 3-psp parallel robot
abstract type-ii fuzzy logic has shown its superiority over traditional fuzzy logic when dealing with uncertainty. type-ii fuzzy logic controllers are however newer and more promising approaches that have been recently applied to various fields due to their significant contribution especially when the noise (as an important instance of uncertainty) emerges. during the design of type- i fuz...
15 صفحه اولPENETRATE: Personalized news recommendation using ensemble hierarchical clustering
Recommending online news articles has become a promising research direction as the Internet provides fast access to real-time information from multiple sources around the world. Many online readers have their own reading preference on news articles; however, a group of users might be interested in similar fascinating topics. It would be helpful to take into consideration the individual and grou...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: JOURNAL OF UNIVERSITY OF BABYLON for Pure and Applied Sciences
سال: 2019
ISSN: 2312-8135,1992-0652
DOI: 10.29196/jubpas.v27i1.2192