Predicting the near-weekend ticket sales using web-based external factors and box-office data

Seonghoon Moon; Suman Bae; Songkuk Kim

doi:10.1109/WI-IAT.2014.113

Predicting the near-weekend ticket sales using web-based external factors and box-office data

Seonghoon Moon, Suman Bae, Songkuk Kim

School of Integrated Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

8 Citations (Scopus)

Abstract

Posting online reviews and rating their satisfaction on purchased products has become an increasingly popular way to share the information for anonymous candidates who has interest in purchasing the product. In addition, people leave their interests and near-future purchasing plan on the web such as search history and search query volume. From this phenomenon, the prediction of sales performance is possible in many products by mining the data sets which are left on the web by consumers' online activities. In this paper, we focused on the movie ticket sales which word-of-mouth effect is prominent, and our goal is to forecast the sales performance of the near-weekend using box-office data and external factors such as online reviews, star ratings and search volume. For this work, we gather 1.7 million online reviews and movie ratings, and we also gather the daily search volume of movies' title for past three years. Using machine learning techniques and linear modeling, we develop a model for high-accuracy predicting of ticket sales on near-future. We also analyze a relationship between ticket sales performance on weekends and box-office data, online reviews, star ratings, and search volume. Through this work, we support to decide the ideal number of screens for a given weekend, thus it contributes to a substantial increase in the rate of profit on movie markets.

Original language	English
Title of host publication	Proceedings - 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014
Editors	Andrzej Skowron, Lipika Dey, Adam Krasuski, Yuefeng Li
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	312-318
Number of pages	7
ISBN (Electronic)	9781479941438
DOIs	https://doi.org/10.1109/WI-IAT.2014.113
Publication status	Published - 2014 Oct 16
Event	2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014 - Warsaw, Poland Duration: 2014 Aug 11 → 2014 Aug 14

Publication series

Name	Proceedings - 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014
Volume	2

Other

Other	2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014
Country/Territory	Poland
City	Warsaw
Period	14/8/11 → 14/8/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Networks and Communications
Software

Access to Document

10.1109/WI-IAT.2014.113

Cite this

Moon, S., Bae, S., & Kim, S. (2014). Predicting the near-weekend ticket sales using web-based external factors and box-office data. In A. Skowron, L. Dey, A. Krasuski, & Y. Li (Eds.), Proceedings - 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014 (pp. 312-318). (Proceedings - 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014; Vol. 2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WI-IAT.2014.113

Moon, Seonghoon ; Bae, Suman ; Kim, Songkuk. / Predicting the near-weekend ticket sales using web-based external factors and box-office data. Proceedings - 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014. editor / Andrzej Skowron ; Lipika Dey ; Adam Krasuski ; Yuefeng Li. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 312-318 (Proceedings - 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014).

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title = "Predicting the near-weekend ticket sales using web-based external factors and box-office data",

abstract = "Posting online reviews and rating their satisfaction on purchased products has become an increasingly popular way to share the information for anonymous candidates who has interest in purchasing the product. In addition, people leave their interests and near-future purchasing plan on the web such as search history and search query volume. From this phenomenon, the prediction of sales performance is possible in many products by mining the data sets which are left on the web by consumers' online activities. In this paper, we focused on the movie ticket sales which word-of-mouth effect is prominent, and our goal is to forecast the sales performance of the near-weekend using box-office data and external factors such as online reviews, star ratings and search volume. For this work, we gather 1.7 million online reviews and movie ratings, and we also gather the daily search volume of movies' title for past three years. Using machine learning techniques and linear modeling, we develop a model for high-accuracy predicting of ticket sales on near-future. We also analyze a relationship between ticket sales performance on weekends and box-office data, online reviews, star ratings, and search volume. Through this work, we support to decide the ideal number of screens for a given weekend, thus it contributes to a substantial increase in the rate of profit on movie markets.",

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Moon, S, Bae, S & Kim, S 2014, Predicting the near-weekend ticket sales using web-based external factors and box-office data. in A Skowron, L Dey, A Krasuski & Y Li (eds), Proceedings - 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014. Proceedings - 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014, vol. 2, Institute of Electrical and Electronics Engineers Inc., pp. 312-318, 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014, Warsaw, Poland, 14/8/11. https://doi.org/10.1109/WI-IAT.2014.113

Predicting the near-weekend ticket sales using web-based external factors and box-office data. / Moon, Seonghoon; Bae, Suman; Kim, Songkuk.

Proceedings - 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014. ed. / Andrzej Skowron; Lipika Dey; Adam Krasuski; Yuefeng Li. Institute of Electrical and Electronics Engineers Inc., 2014. p. 312-318 (Proceedings - 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Moon S, Bae S, Kim S. Predicting the near-weekend ticket sales using web-based external factors and box-office data. In Skowron A, Dey L, Krasuski A, Li Y, editors, Proceedings - 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 312-318. (Proceedings - 2014 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2014). doi: 10.1109/WI-IAT.2014.113

Predicting the near-weekend ticket sales using web-based external factors and box-office data

Abstract

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