Hybrid crow search and uniform crossover algorithm-based clustering for top-N recommendation system

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An improved opposition-based Crow Search Algorithm for Data Clustering

Data clustering is an ideal way of working with a huge amount of data and looking for a structure in the dataset. In other words, clustering is the classification of the same data; the similarity among the data in a cluster is maximum and the similarity among the data in the different clusters is minimal. The innovation of this paper is a clustering method based on the Crow Search Algorithm (CS...

متن کامل

Optimal Placement and Sizing of TCSC & SVC for Improvement Power System Operation using Crow Search Algorithm

Abstract: The need for more efficient power systems has prompted the use of a new technologies includes Flexible AC transmission system (FACTS) devices. FACTS devices provides new opportunity for controlling the line power flow and minimizing losses while maintaining the bus voltages within a permissible limit. In this thesis a new method is proposed for optimal placement and sizing of Thyristo...

متن کامل

Tabu-KM: A Hybrid Clustering Algorithm Based on Tabu Search Approach

  The clustering problem under the criterion of minimum sum of squares is a non-convex and non-linear program, which possesses many locally optimal values, resulting that its solution often falls into these trap and therefore cannot converge to global optima solution. In this paper, an efficient hybrid optimization algorithm is developed for solving this problem, called Tabu-KM. It gathers the ...

متن کامل

B-Rank: A top N Recommendation Algorithm

In this paper I propose B-Rank, an efficient ranking algorithm for recommender systems. B-Rank is based on a random walk model on hypergraphs. Depending on the setup, B-Rank outperforms other state of the art algorithms in terms of precision, recall ∼ (19%− 50%) and inter list diversity ∼ (20%− 60%). B-Rank captures well the difference between popular and niche objects. The proposed algorithm p...

متن کامل

A 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 کامل

ذخیره 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: Neural Computing and Applications

سال: 2020

ISSN: 0941-0643,1433-3058

DOI: 10.1007/s00521-020-05482-6