Content-Based Video Recommendation System Based on Stylistic Visual Features

Yashar Deldjoo; Mehdi Elahi; Paolo Cremonesi; Franca Garzotto; Pietro Piazzolla; Massimo Quadrana

doi:10.1007/s13740-016-0060-9

Keywords

Computer scienceUploadRecommender systemExploitInformation retrievalSet (abstract data type)Context (archaeology)Precision and recallRelevance (law)Feature extractionFeature (linguistics)MultimediaWorld Wide WebArtificial intelligence

Affiliated Institutions

Politecnico di Milano IT

Related Publications

Up next

Michael Bendersky , Lluís Garcia-Pueyo , Jeremiah Harmsen +2 more

The explosive growth in sharing and consumption of the video content on the web creates a unique opportunity for scientific advances in video retrieval, recommendation and disco...

2014 33 citations

A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems

Ali Elkahky , Yang Song , Xiaodong He

Recent online services rely heavily on automatic personalization to recommend relevant content to a large number of users. This requires systems to scale promptly to accommodate...

2015 710 citations

Context-aware Image Tweet Modelling and Recommendation

Tao Chen , Xiangnan He , Min‐Yen Kan

While efforts have been made on bridging the semantic gap in image understanding, the in situ understanding of social media images is arguably more important but has had less pr...

2016 86 citations

Learning Image and User Features for Recommendation in Social Networks

Xue Geng , Hanwang Zhang , Jingwen Bian +1 more

Good representations of data do help in many machine learning tasks such as recommendation. It is often a great challenge for traditional recommender systems to learn representa...

2015 225 citations

Structure Driven Image Database Retrieval

Jeremy S. De Bonet , Paul Viola

A new algorithm is presented which approximates the perceived visual similarity between images. The images are initially trans-formed into a feature space which captures visual ...

1997 57 citations

Publication Info

Year: 2016
Type: article
Volume: 5
Issue: 2
Pages: 99-113
Citations: 222
Access: Closed

External Links

View on DOI.org

Social Impact

Altmetric

Content-Based Video Recommendation System Based on Stylistic Visual Features

PlumX Metrics

Social media, news, blog, policy document mentions

Citation Metrics

222

OpenAlex

Cite This

APA Style

                            
                                
                                    Yashar Deldjoo, 
                                
                                    Mehdi Elahi, 
                                
                                    Paolo Cremonesi
                                
                                et al.
                            
                            (2016). 
                            Content-Based Video Recommendation System Based on Stylistic Visual Features. 
                            Journal on Data Semantics
                            , 5
                            (2)
                            , 99-113.
                            https://doi.org/10.1007/s13740-016-0060-9
                        

Identifiers

DOI: 10.1007/s13740-016-0060-9