---
title: "Pre-release Prediction of Crowd Opinion on Movies by Label Distribution Learning"
authors:
  - "Xin Geng"
  - "Peng Hou"
doi: ""
url: "https://ijcai.org/proceedings/2015/494"
pdf: "https://ijcai.org/proceedings/2015/0494.pdf"
venue: "Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence"
year: 2015
pages: "3511-3516"
track: "Special Track on Machine Learning"
keywords:
---

# Pre-release Prediction of Crowd Opinion on Movies by Label Distribution Learning

Xin Geng, Peng Hou

*Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence*, pages 3511-3516.

## Abstract

This paper studies an interesting problem: is it possible to predict the crowd opinion about a movie before the movie is actually released? The crowd opinion is here expressed by the distribution of ratings given by a sufficient amount of people. Consequently, the pre-release crowd opinion prediction can be regarded as a Label Distribution Learning (LDL) problem. In order to solve this problem, a Label Distribution Support Vector Regressor (LDSVR) is proposed in this paper. The basic idea of LDSVR is to fit a sigmoid function to each component of the label distribution simultaneously by a multi-output support vector machine. Experimental results show that LDSVR can accurately predict peoples’s rating distribution about a movie just based on the pre-release metadata of the movie.