Comparative Analysis of Clustering Techniques for Movie Recommendation

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

Matrix Factorization+ for Movie Recommendation

We present a novel model for movie recommendations using additional visual features extracted from pictural data like posters and still frames, to better understand movies. In particular, several context-based methods for recommendation are shown to be special cases of our proposed framework. Unlike existing context-based approaches, our method can be used to incorporate visual features – featu...

متن کامل

A Comparative Analysis of clustering based Routing Techniques for WSN

In recent years, there has been a rapid proliferation of research concerning Wireless Sensor Networks (WSNs), due to the wide range of potential applications that they can be used for. Sensor nodes are typically powered by batteries with a limited lifetime, and in most cases, the batteries cannot be recharged. The energy problem in WSNs remains as one of the major barriers that prevent the comp...

متن کامل

Comparative Analysis of Clustering Techniques for Real Dataset

Clustering is a process of classification of data objects into similar groups or clusters. A clustering algorithm partitions the data set into several similar groups. By analyzing different algorithms, efficiency of clustering techniques has been calculated. System can define cluster quality by comparing different clustering algorithms. Data clustering techniques are used in a wide variety of s...

متن کامل

Movie Recommendation with DBpedia

In this paper we present MORE (acronym of MORE than MOvie REcommendation), a Facebook application that semantically recommends movies to the user leveraging the knowledge within Linked Data and the information elicited from her profile. MORE exploits the power of social knowledge bases (e.g. DBpedia) to detect semantic similarities among movies. These similarities are computed by a Semantic ver...

متن کامل

Connotative Feature Extraction For Movie Recommendation

It is difficult to assess the emotions subject to the emotional responses to the content of the film by exploring the film connotative properties. Connotation is used to represent the emotions described by the audiovisual descriptors so that it predicts the emotional reaction of user. The connotative features can be used for the recommendation of movies. There are various methodologies for the ...

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: MATEC Web of Conferences

سال: 2018

ISSN: 2261-236X

DOI: 10.1051/matecconf/201822502004