Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Predicting Movie Revenue from IMDb Data
Movie Reviews and Revenues: An Experiment in Text Regression
Variational Bayesian Approach to Movie Rating Prediction
Predicting movie ratings from audience behaviors
Predicting box-office success of motion pictures with neural networks
Box office forecasting for a cinema with movie and cinema attributes
Recommender system techniques applied to Netflix movie data Research Paper Business Analytics
Assessing Box Office Performance Using Movie Scripts: A Kernel-Based Approach
Recommending new movies: even a few ratings are more valuable than metadata
Predicting motion picture box office performance using temporal tweet patterns
Context Dependent Movie Recommendations Using a Hierarchical Bayesian Model
An improved sentiment analysis of online movie reviews based on clustering for box-office prediction
mining using internet movie database ( imdb ) for movie review and summarization 1 .
PREDICTING MOVIE SUCCESS AND ACADEMY AWARDS THROUGH SENTIMENT AND SOCIAL NETWORK ANALYSIS
Big & personal: data and models behind netflix recommendations
Beyond the stars: exploiting free-text user reviews to improve the accuracy of movie recommendations
Predicting Movie Genres Based on Plot Summaries
movie success prediction based on classical and social factors .
Exploring the Value of Online Product Reviews in Forecasting Sales: The Case of Motion Pictures
predicting long - term box office performance of movies using social media and its comparison with traditional survey methods .
An improved approach for movie recommendation system
Text-to-Clip Video Retrieval with Early Fusion and Re-Captioning.
Technology-enhanced Learning for Students with Learning Disabilities
On Improving TCP Performance over Mobile Data Networks
Development and Therapeutic Potential of Small-Molecule Modulators of Circadian Systems.
Predicting movie sales from blogger sentiment