Predicting IMDb Ratings of Pre-release Movies with Factorization Machines Using Social Media

Beyza Cizmeci; Sule Gunduz Oguducu

doi:10.1109/UBMK.2018.8566661

Predicting IMDb Ratings of Pre-release Movies with Factorization Machines Using Social Media

Beyza Cizmeci, Sule Gunduz Oguducu

Yapay Zeka ve Veri Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

12 Atıf (Scopus)

Özet

The film industry has always been a very important sector in the global market. Therefore, it is very important to maximize the profit by predicting the movie success before its release. Although several studies have been done in this field, it is still needed to improve the prediction performance and collect more data. This study aims to explore the use of Factorization Machines approach in order to predict movie success by predicting IMDb ratings for newly released movies using social media data and compare it to current studies. Also, a framework has been developed in order to gather the movie data from different sources including social media. Comparison of the Factorization Machines to the current models shows that there are promising results.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	UBMK 2018 - 3rd International Conference on Computer Science and Engineering
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	173-178
Sayfa sayısı	6
ISBN (Elektronik)	9781538678930
DOI'lar	https://doi.org/10.1109/UBMK.2018.8566661
Yayın durumu	Yayınlandı - 6 Ara 2018
Etkinlik	3rd International Conference on Computer Science and Engineering, UBMK 2018 - Sarajevo, Bosnia and Herzegovina Süre: 20 Eyl 2018 → 23 Eyl 2018

Yayın serisi

Adı	UBMK 2018 - 3rd International Conference on Computer Science and Engineering

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	3rd International Conference on Computer Science and Engineering, UBMK 2018
Ülke/Bölge	Bosnia and Herzegovina
Şehir	Sarajevo
Periyot	20/09/18 → 23/09/18

Bibliyografik not

Publisher Copyright:
© 2018 IEEE.

Belgeye Erişim

10.1109/UBMK.2018.8566661

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Cizmeci, B., & Oguducu, S. G. (2018). Predicting IMDb Ratings of Pre-release Movies with Factorization Machines Using Social Media. In UBMK 2018 - 3rd International Conference on Computer Science and Engineering (pp. 173-178). Makale 8566661 (UBMK 2018 - 3rd International Conference on Computer Science and Engineering). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UBMK.2018.8566661

@inproceedings{e1777551320c4945b91f86949a3ff34c,

title = "Predicting IMDb Ratings of Pre-release Movies with Factorization Machines Using Social Media",

abstract = "The film industry has always been a very important sector in the global market. Therefore, it is very important to maximize the profit by predicting the movie success before its release. Although several studies have been done in this field, it is still needed to improve the prediction performance and collect more data. This study aims to explore the use of Factorization Machines approach in order to predict movie success by predicting IMDb ratings for newly released movies using social media data and compare it to current studies. Also, a framework has been developed in order to gather the movie data from different sources including social media. Comparison of the Factorization Machines to the current models shows that there are promising results.",

keywords = "Data Mining, Factorization Machines, IMDb, Linear Regression, Machine Learning, Movie Rating Prediction, Social Media",

author = "Beyza Cizmeci and Oguducu, {Sule Gunduz}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 3rd International Conference on Computer Science and Engineering, UBMK 2018 ; Conference date: 20-09-2018 Through 23-09-2018",

year = "2018",

month = dec,

day = "6",

doi = "10.1109/UBMK.2018.8566661",

language = "English",

series = "UBMK 2018 - 3rd International Conference on Computer Science and Engineering",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "173--178",

booktitle = "UBMK 2018 - 3rd International Conference on Computer Science and Engineering",

address = "United States",

}

Cizmeci, B & Oguducu, SG 2018, Predicting IMDb Ratings of Pre-release Movies with Factorization Machines Using Social Media. in UBMK 2018 - 3rd International Conference on Computer Science and Engineering., 8566661, UBMK 2018 - 3rd International Conference on Computer Science and Engineering, Institute of Electrical and Electronics Engineers Inc., pp. 173-178, 3rd International Conference on Computer Science and Engineering, UBMK 2018, Sarajevo, Bosnia and Herzegovina, 20/09/18. https://doi.org/10.1109/UBMK.2018.8566661

Predicting IMDb Ratings of Pre-release Movies with Factorization Machines Using Social Media. / Cizmeci, Beyza; Oguducu, Sule Gunduz.
UBMK 2018 - 3rd International Conference on Computer Science and Engineering. Institute of Electrical and Electronics Engineers Inc., 2018. p. 173-178 8566661 (UBMK 2018 - 3rd International Conference on Computer Science and Engineering).

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

TY - GEN

T1 - Predicting IMDb Ratings of Pre-release Movies with Factorization Machines Using Social Media

AU - Cizmeci, Beyza

AU - Oguducu, Sule Gunduz

PY - 2018/12/6

Y1 - 2018/12/6

N2 - The film industry has always been a very important sector in the global market. Therefore, it is very important to maximize the profit by predicting the movie success before its release. Although several studies have been done in this field, it is still needed to improve the prediction performance and collect more data. This study aims to explore the use of Factorization Machines approach in order to predict movie success by predicting IMDb ratings for newly released movies using social media data and compare it to current studies. Also, a framework has been developed in order to gather the movie data from different sources including social media. Comparison of the Factorization Machines to the current models shows that there are promising results.

AB - The film industry has always been a very important sector in the global market. Therefore, it is very important to maximize the profit by predicting the movie success before its release. Although several studies have been done in this field, it is still needed to improve the prediction performance and collect more data. This study aims to explore the use of Factorization Machines approach in order to predict movie success by predicting IMDb ratings for newly released movies using social media data and compare it to current studies. Also, a framework has been developed in order to gather the movie data from different sources including social media. Comparison of the Factorization Machines to the current models shows that there are promising results.

KW - Data Mining

KW - Factorization Machines

KW - IMDb

KW - Linear Regression

KW - Machine Learning

KW - Movie Rating Prediction

KW - Social Media

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U2 - 10.1109/UBMK.2018.8566661

DO - 10.1109/UBMK.2018.8566661

M3 - Conference contribution

AN - SCOPUS:85060605431

T3 - UBMK 2018 - 3rd International Conference on Computer Science and Engineering

SP - 173

EP - 178

BT - UBMK 2018 - 3rd International Conference on Computer Science and Engineering

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference on Computer Science and Engineering, UBMK 2018

Y2 - 20 September 2018 through 23 September 2018

ER -

Cizmeci B, Oguducu SG. Predicting IMDb Ratings of Pre-release Movies with Factorization Machines Using Social Media. In UBMK 2018 - 3rd International Conference on Computer Science and Engineering. Institute of Electrical and Electronics Engineers Inc. 2018. p. 173-178. 8566661. (UBMK 2018 - 3rd International Conference on Computer Science and Engineering). doi: 10.1109/UBMK.2018.8566661

Predicting IMDb Ratings of Pre-release Movies with Factorization Machines Using Social Media

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

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