Predicting Box Office Revenues
•Download as PPT, PDF•
1 like•817 views
The document summarizes models for predicting box office revenues of films. It describes two models: 1) Eliashberg and Sawhney's time-to-decide and time-to-act model which focuses on consumer behavior in deciding to see and acting to see a movie. 2) A "determinant" model which uses factors like genre, ratings, actors to predict revenues through linear regression. It also applies the models to predict revenues for the film "The Dark Knight" and discusses limitations and ways to improve the models.
Report
Share
Report
Share
Recommended
Data Mining
The document discusses decision tree techniques for data mining. It provides an introduction to decision trees, their key requirements and strengths. It then gives two examples of decision trees - one for a music store to predict CD sales based on factors like genre and popularity, and another for a bank to predict loan approvals based on customer details. Decision trees can perform classification and prediction, represent rules understandably, and handle both continuous and categorical variables. They provide a visual representation of the most important factors for prediction.
Movie Prose - A Business Intelligence system
1. The document proposes using a recommendation engine and user profiling to provide personalized movie recommendations and targeted movie advertisements to users.
2. The system would collect user activity and demographic data to build profiles, then use techniques like classification and affinity analysis to determine correlations between profiles and make recommendations.
3. Benefits include more personalized recommendations for users, feedback to improve profiles, and targeted ads that could benefit movie makers and increase user satisfaction.
Datamining korea movie industry
- Project Title: Datamining korea movie industry
- Course name: Principles and Practice in Data Mining
- Semester: Autumn 2016
- Professor: Yuran SEO
- Sungkyunkwan University
- Department: Chinese & Library and Information science
- Name: Kyungtaek Hong, Ji won Park
- Contact: hongyoun12@naver.com
Data mining project presentation
This document summarizes an analysis of the K-nearest neighbors (KNN) machine learning algorithm on the Iris dataset. KNN was implemented on the Iris dataset, which contains 150 records across 5 attributes for 3 types of iris flowers. Data processing involved organizing the data and analyzing statistics and histograms. KNN classification works by finding the K closest training examples in attribute space and voting on the label. Testing showed that KNN achieved high accuracy, especially with a balanced training set and K=7 neighbors. While simple, KNN performs well on datasets with continuous attributes like Iris.
Ugam Research Services Portfolio Pdf
Ugam Research Solutions is a leading provider of market research services including survey programming, data processing, analysis, and reporting. They have over 900 employees across several global offices and facilities. Ugam offers flexible and scalable research support through expert teams with experience in over 45 languages and all major research modes. Their services span the entire research process from study design to data collection, analysis, and presentation.
Bayesian Co clustering
This document summarizes a research paper on Bayesian co-clustering. The paper proposes a new method called Bayesian co-clustering (BCC) that views co-clustering as a generative mixture modeling problem. BCC assumes mixed membership for rows and columns to generate clusters. Experiments on simulated and real datasets show that BCC outperforms other methods like LDA and BNB in terms of perplexity and prediction performance. Visualization of results also reveals meaningful clusters and embeddings of data.
Sentiment analysis of tweets
This document discusses predicting movie box office success based on sentiment analysis of tweets. It presents the methodology, which includes collecting twitter data on movies, preprocessing the data by removing noise and irrelevant tweets, using a trained classifier to label tweets as positive, negative, neutral or irrelevant, and calculating a PT-NT ratio based on these labels to predict if a movie will be a hit, flop or average. Related work on using social media to predict outcomes is also discussed.
The Ultimate Freebies Guide for Presentations by @damonify
This document is a guide to free resources for creating visually impressive presentations. It provides direct links to websites for free fonts, colors, icons, photos, backgrounds, charts, infographics, PSD/vector files, inspiration, and extras. The guide aims to provide creative people with everything they might need for their design process. It encourages using the resources to complement unique creativity and create designs for all to share.
Recommended
Data Mining
The document discusses decision tree techniques for data mining. It provides an introduction to decision trees, their key requirements and strengths. It then gives two examples of decision trees - one for a music store to predict CD sales based on factors like genre and popularity, and another for a bank to predict loan approvals based on customer details. Decision trees can perform classification and prediction, represent rules understandably, and handle both continuous and categorical variables. They provide a visual representation of the most important factors for prediction.
Movie Prose - A Business Intelligence system
1. The document proposes using a recommendation engine and user profiling to provide personalized movie recommendations and targeted movie advertisements to users.
2. The system would collect user activity and demographic data to build profiles, then use techniques like classification and affinity analysis to determine correlations between profiles and make recommendations.
3. Benefits include more personalized recommendations for users, feedback to improve profiles, and targeted ads that could benefit movie makers and increase user satisfaction.
Datamining korea movie industry
- Project Title: Datamining korea movie industry
- Course name: Principles and Practice in Data Mining
- Semester: Autumn 2016
- Professor: Yuran SEO
- Sungkyunkwan University
- Department: Chinese & Library and Information science
- Name: Kyungtaek Hong, Ji won Park
- Contact: hongyoun12@naver.com
Data mining project presentation
This document summarizes an analysis of the K-nearest neighbors (KNN) machine learning algorithm on the Iris dataset. KNN was implemented on the Iris dataset, which contains 150 records across 5 attributes for 3 types of iris flowers. Data processing involved organizing the data and analyzing statistics and histograms. KNN classification works by finding the K closest training examples in attribute space and voting on the label. Testing showed that KNN achieved high accuracy, especially with a balanced training set and K=7 neighbors. While simple, KNN performs well on datasets with continuous attributes like Iris.
Ugam Research Services Portfolio Pdf
Ugam Research Solutions is a leading provider of market research services including survey programming, data processing, analysis, and reporting. They have over 900 employees across several global offices and facilities. Ugam offers flexible and scalable research support through expert teams with experience in over 45 languages and all major research modes. Their services span the entire research process from study design to data collection, analysis, and presentation.
Bayesian Co clustering
This document summarizes a research paper on Bayesian co-clustering. The paper proposes a new method called Bayesian co-clustering (BCC) that views co-clustering as a generative mixture modeling problem. BCC assumes mixed membership for rows and columns to generate clusters. Experiments on simulated and real datasets show that BCC outperforms other methods like LDA and BNB in terms of perplexity and prediction performance. Visualization of results also reveals meaningful clusters and embeddings of data.
Sentiment analysis of tweets
This document discusses predicting movie box office success based on sentiment analysis of tweets. It presents the methodology, which includes collecting twitter data on movies, preprocessing the data by removing noise and irrelevant tweets, using a trained classifier to label tweets as positive, negative, neutral or irrelevant, and calculating a PT-NT ratio based on these labels to predict if a movie will be a hit, flop or average. Related work on using social media to predict outcomes is also discussed.
The Ultimate Freebies Guide for Presentations by @damonify
This document is a guide to free resources for creating visually impressive presentations. It provides direct links to websites for free fonts, colors, icons, photos, backgrounds, charts, infographics, PSD/vector files, inspiration, and extras. The guide aims to provide creative people with everything they might need for their design process. It encourages using the resources to complement unique creativity and create designs for all to share.
Quick & Dirty Tips for : Better PowerPoint Presentations Faster
You and I have wasted enough time on PowerPoint Presentations. It's a necessary evil, but there are much better ways to approach it. Based off a talk I gave @ APTS. Enjoy!
Email Marketing 101: The Welcome Email
Your welcome email (or lack thereof) sets the tone for the email marketing relationship you have with your subscribers—make sure it's sending the right message!
The Science of Email Marketing
Did you know that Tuesdays at 11am is one of the worst possible times to send your email campaigns? Stop relying on guesswork and hunches to drive your email marketing--you might be shooting yourself in the foot. Learn How to Tweak Your Email Messaging to Generate More Leads!
View full presentation here: http://www.hubspot.com/the-science-of-email-marketing/
Social Proof Tips to Boost Landing Page Conversions
Are you leveraging social proof to optimally boost leads and sales? Checkout out these tricks for harnessing current and past customer success (testimonials, star ratings, customer action shots, etc.) to drive more conversions.
You'll learn:
- What kinds of social proof aid conversion (and why)
- Common conversion-killing social proof cases to avoid
- When and where social proof matters on a landing page
- How to score/grade the quality of your social proof
- What elements make a highly persuasive testimonial (and how to get them)
BONUS: Learn my "CRAVENS" methodology -- a simple scorecard for measuring the quality of social proof to effectively persuade conversion. CRAVENS = Credible, Relevant, Attractive, Visual, Enumerated, Nearby [anxiety points], Specific.
Note: A "craven" is a chicken, quitter, scaredy cat, etc. The CRAVENS model focuses on leveraging social proof to strategically reduce anxiety (i.e. scaredy cat, abandonment tendencies) and in turn boost conversion. Get ready for some actionable social proof tips and some epic LOL cat slides! #RememberTheCravens (scaredy cats!)
>> Presented Aug 26, 2014 for an Unbounce Webinar.
Short link: http://j.mp/socialproofcrowebinar
Pitching Ideas: How to sell your ideas to others
Learn how to convince others of your UX ideas by understanding them.
We are good in designing usable and engaging products and services. We understand the user's needs and have a toolkit with dozens of deliverables. But for some reason it remains difficult to sell an idea or concept to team members, managers or clients. After this session that problem will be solved!
Selling your ideas and convincing others is one of the most undervalued assets in our field. This ranges from convincing a colleague to use a certain design pattern to selling research to your boss and convincing a client to go for your concept. You can come up with the best ideas in the world, but if it is presented in the wrong way these ideas will die a lonely dead. This is sad, because everybody can learn how to bring a message across. The main thing is that you know what to pay attention to.
In this session I will take you on a journey through the world of presenting ideas. We will move through the heads of clients and your colleagues, learn what their thoughts and needs are. We will move to the core of your idea and into the world of psychology.
26 Top Crowdfunding Sites (Infographic)
https://www.wrike.com/blog/08/27/2014/Crowdfunding-Sites-Infographic - In the last few years, the crowdfunding scene has exploded. It's not just about Kickstarter and IndieGoGo anymore. Now there are hundreds of platforms to choose from, with more popping up every day. But which crowdfunding site is best for your startup, small business, or charitable cause?
In this infographic, we cover 26 Top Crowdfunding Sites with all the essential details so you can choose wisely.
More info here on the blog: https://www.wrike.com/blog/08/27/2014/Crowdfunding-Sites-Infographic
How To Assemble a High Converting eBook
The eBooks you create have the potential to become an important pillar in your content marketing mix.
Do it right and these high-converting "lead magnets" can continue to work for your content marketing machine long after the average blog post has ran out of steam.
But first, we need to move past the assumption that great eBooks are merely written and start building them with all the right parts!
Create icons in PowerPoint
Using icons is a great way to add visuals to your presentation. There are many ways to get icons online, some are even free. But if you need a specific icon that you can’t find or if you want a special spin to your icon (color, shadow etc) – you can use PowerPoint’s great (and somewhat hidden) “Merge Shapes” commands to create your own icons.
Using these commands you can combine basic shapes into other shapes. You can union and subtract shapes. You can intersect and combine. All while still working natively inside PowerPoint. Once you have created an icon you can change the color, filling and add shadows as needed.
It is just as fun as building with Lego blocks! Well, almost..
This is a guide in 15 steps showing you how you can use these commands to create your own icon - the example we are using is a calendar icon.
People Don't Care About Your Brand
Three business basics to always remember! People don't care about your brand. They care about what you can do for them. Back to basics... Give people what they want, do it consistently and do it better than your competition.
10 Disruptive Quotes for Entrepreneurs
People think that innovation happens by sitting around with your buddies and letting magical ideas pop into your head. Or, your customers tell you exactly what they need, and you just have to build it.
Dream on. Innovation is a hard, messy process with no shortcuts. It starts with making something that you’d like to use and that might make people’s lives better. Then you have to get the word out that your product or service exists.
Follow #VirginDisruptors to join the conversation with Richard Branson and Guy Kawasaki as they talk about whether entrepreneurs have lost the will to innovate.
The Live Google+ Hangout with Richard Branson will be live streamed on Friday, May 9 at 9:30 am PT/12:30 pm PT with a live audience as well. It’s sure to generate a thoughtful conversation and innovative thinking. RSVP on the Google+ event to get a reminder. http://bit.ly/1mgP0b6
The Sharing Economy
The document discusses the rise of the sharing economy. It notes that sharing services now reach 40,000 people per day across 30,000 cities and 192 countries. The sharing economy has grown due to factors like the recession, excess waste and unused goods, information overload, and a new generation that values sustainability and community over consumerism. Examples mentioned include crowdfunding sites like Kickstarter, local marketplaces like Etsy, and communities formed around sharing items, skills and physical spaces. The document argues this shift represents more than a fad and will continue transforming economic and social systems.
Go Viral on the Social Web: The Definitive How-To guide!
Creating a Viral Content success story has no recipe. It has a lot of variables, not all of which can be controlled by a Brand. However, this deck offers you the ideal How-To approach in creating tasteful, inspired Content that will help your message stand out from the information noise on Social Web and make people eager to share it around.
17 Copywriting Do's and Don'ts: How To Write Persuasive Content
The document provides tips for writing more persuasive copy, including avoiding filler phrases like "excellent customer service", superlatives like "the best", vague descriptions, passive voice, addressing readers as a crowd, jargon, multiple adjectives, and sugary testimonials. It recommends using sensory words, focusing on benefits and problems solved, mentioning objections overcome, focusing on the reader's needs, asking questions, telling stories with examples, and making calls-to-action direct. The goal is to appeal directly to the reader and their needs rather than using empty phrases.
Regressioin mini case
This document provides an overview of regression analysis and examples of its applications. It discusses the basics of regression, including distinguishing between continuous and discrete variables and summarizing each. It also explains that regression can be used to determine relationships between variables, predict dependent variable values, and control for other independent variables. Examples provided include predicting box office revenues and analyzing the impact of Southwest Airlines on airfares.
[Custom Data] Alice Nguyen
Alice Nguyen's Submission in Data Story-telling with QuickSight Contest during DevAx Online Workshop Series 2: Data Analytics.
[Custom Data] Alice Nguyen
Alice Nguyen's Submission in Data Story-telling with QuickSight Contest during DevAx Online Workshop Series 2: Data Analytics.
Regression Model for movies
The document discusses exploring and preparing movie data for predictive modeling. It begins by describing the movie dataset, which contains information on 651 movies. Several variables are identified as relevant for understanding audience scores. The data is then cleaned by removing incomplete observations, leaving 650 movies. Exploratory analysis finds most movies are dramas and comedies. Runtimes, ratings, and scores are right-skewed. Graphs are made to visualize distributions of variables like genre, year, and ratings that may impact audience scores.
Predicting Movie Success Using Neural Network
This document describes a study that uses a neural network to predict the success level (flop, hit, or superhit) of Indian movies. The researchers:
1. Collected data on factors that influence movie success, such as the actors, directors, producers, etc. and their past movie performances.
2. Used this historical data to assign weights to each factor and develop a methodology to classify movies into success levels based on thresholds.
3. Trained a neural network using the weighted input data to automate the movie success prediction process.
4. Evaluated the model and found it could accurately predict success levels for 93.3% of movies, based on a confusion matrix analysis of actual
Preannouncement of experience goods references
This document discusses preannouncements in the motion picture industry. It provides background on how movie studios often announce new films months or years before production through information about sought-after properties or actors being considered. The paper aims to link dimensions of preannouncement strategy to audience anticipation and first weekend box office revenues, presenting a conceptual model that includes the moderating roles of studio advertising and third party reviews. It reviews past literature that has mostly focused on search goods rather than experience goods like movies.
Tim P
The document discusses how the entertainment industry is evolving with declining movie attendance and rising streaming, and how Sony Pictures is applying data-driven "Moneyball" approaches like using predictive analytics and machine learning for greenlight decisions and applications like movie recommendation engines and title clustering. It also covers new opportunities in augmented reality, virtual reality and cinematic VR.
Animation Opportunity 2009
This two-day intensive seminar provides an in-depth look at the inner workings of CG animation studios in Hollywood, focusing on development and production. It analyzes why only two studios, Pixar and DreamWorks, consistently produce successful CG animated features, and why other distributors have failed to source and distribute these films. Over the two days, the seminar will cover studio operations, the development process, production pipelines, technology strategies, budgets, and how to navigate the "people and politics" of these large institutions. The presenter is Lance Young, a former executive at DreamWorks Animation who oversaw development and production during his tenure.
More Related Content
Viewers also liked
Quick & Dirty Tips for : Better PowerPoint Presentations Faster
You and I have wasted enough time on PowerPoint Presentations. It's a necessary evil, but there are much better ways to approach it. Based off a talk I gave @ APTS. Enjoy!
Email Marketing 101: The Welcome Email
Your welcome email (or lack thereof) sets the tone for the email marketing relationship you have with your subscribers—make sure it's sending the right message!
The Science of Email Marketing
Did you know that Tuesdays at 11am is one of the worst possible times to send your email campaigns? Stop relying on guesswork and hunches to drive your email marketing--you might be shooting yourself in the foot. Learn How to Tweak Your Email Messaging to Generate More Leads!
View full presentation here: http://www.hubspot.com/the-science-of-email-marketing/
Social Proof Tips to Boost Landing Page Conversions
Are you leveraging social proof to optimally boost leads and sales? Checkout out these tricks for harnessing current and past customer success (testimonials, star ratings, customer action shots, etc.) to drive more conversions.
You'll learn:
- What kinds of social proof aid conversion (and why)
- Common conversion-killing social proof cases to avoid
- When and where social proof matters on a landing page
- How to score/grade the quality of your social proof
- What elements make a highly persuasive testimonial (and how to get them)
BONUS: Learn my "CRAVENS" methodology -- a simple scorecard for measuring the quality of social proof to effectively persuade conversion. CRAVENS = Credible, Relevant, Attractive, Visual, Enumerated, Nearby [anxiety points], Specific.
Note: A "craven" is a chicken, quitter, scaredy cat, etc. The CRAVENS model focuses on leveraging social proof to strategically reduce anxiety (i.e. scaredy cat, abandonment tendencies) and in turn boost conversion. Get ready for some actionable social proof tips and some epic LOL cat slides! #RememberTheCravens (scaredy cats!)
>> Presented Aug 26, 2014 for an Unbounce Webinar.
Short link: http://j.mp/socialproofcrowebinar
Pitching Ideas: How to sell your ideas to others
Learn how to convince others of your UX ideas by understanding them.
We are good in designing usable and engaging products and services. We understand the user's needs and have a toolkit with dozens of deliverables. But for some reason it remains difficult to sell an idea or concept to team members, managers or clients. After this session that problem will be solved!
Selling your ideas and convincing others is one of the most undervalued assets in our field. This ranges from convincing a colleague to use a certain design pattern to selling research to your boss and convincing a client to go for your concept. You can come up with the best ideas in the world, but if it is presented in the wrong way these ideas will die a lonely dead. This is sad, because everybody can learn how to bring a message across. The main thing is that you know what to pay attention to.
In this session I will take you on a journey through the world of presenting ideas. We will move through the heads of clients and your colleagues, learn what their thoughts and needs are. We will move to the core of your idea and into the world of psychology.
26 Top Crowdfunding Sites (Infographic)
https://www.wrike.com/blog/08/27/2014/Crowdfunding-Sites-Infographic - In the last few years, the crowdfunding scene has exploded. It's not just about Kickstarter and IndieGoGo anymore. Now there are hundreds of platforms to choose from, with more popping up every day. But which crowdfunding site is best for your startup, small business, or charitable cause?
In this infographic, we cover 26 Top Crowdfunding Sites with all the essential details so you can choose wisely.
More info here on the blog: https://www.wrike.com/blog/08/27/2014/Crowdfunding-Sites-Infographic
How To Assemble a High Converting eBook
The eBooks you create have the potential to become an important pillar in your content marketing mix.
Do it right and these high-converting "lead magnets" can continue to work for your content marketing machine long after the average blog post has ran out of steam.
But first, we need to move past the assumption that great eBooks are merely written and start building them with all the right parts!
Create icons in PowerPoint
Using icons is a great way to add visuals to your presentation. There are many ways to get icons online, some are even free. But if you need a specific icon that you can’t find or if you want a special spin to your icon (color, shadow etc) – you can use PowerPoint’s great (and somewhat hidden) “Merge Shapes” commands to create your own icons.
Using these commands you can combine basic shapes into other shapes. You can union and subtract shapes. You can intersect and combine. All while still working natively inside PowerPoint. Once you have created an icon you can change the color, filling and add shadows as needed.
It is just as fun as building with Lego blocks! Well, almost..
This is a guide in 15 steps showing you how you can use these commands to create your own icon - the example we are using is a calendar icon.
People Don't Care About Your Brand
Three business basics to always remember! People don't care about your brand. They care about what you can do for them. Back to basics... Give people what they want, do it consistently and do it better than your competition.
10 Disruptive Quotes for Entrepreneurs
People think that innovation happens by sitting around with your buddies and letting magical ideas pop into your head. Or, your customers tell you exactly what they need, and you just have to build it.
Dream on. Innovation is a hard, messy process with no shortcuts. It starts with making something that you’d like to use and that might make people’s lives better. Then you have to get the word out that your product or service exists.
Follow #VirginDisruptors to join the conversation with Richard Branson and Guy Kawasaki as they talk about whether entrepreneurs have lost the will to innovate.
The Live Google+ Hangout with Richard Branson will be live streamed on Friday, May 9 at 9:30 am PT/12:30 pm PT with a live audience as well. It’s sure to generate a thoughtful conversation and innovative thinking. RSVP on the Google+ event to get a reminder. http://bit.ly/1mgP0b6
The Sharing Economy
The document discusses the rise of the sharing economy. It notes that sharing services now reach 40,000 people per day across 30,000 cities and 192 countries. The sharing economy has grown due to factors like the recession, excess waste and unused goods, information overload, and a new generation that values sustainability and community over consumerism. Examples mentioned include crowdfunding sites like Kickstarter, local marketplaces like Etsy, and communities formed around sharing items, skills and physical spaces. The document argues this shift represents more than a fad and will continue transforming economic and social systems.
Go Viral on the Social Web: The Definitive How-To guide!
Creating a Viral Content success story has no recipe. It has a lot of variables, not all of which can be controlled by a Brand. However, this deck offers you the ideal How-To approach in creating tasteful, inspired Content that will help your message stand out from the information noise on Social Web and make people eager to share it around.
17 Copywriting Do's and Don'ts: How To Write Persuasive Content
The document provides tips for writing more persuasive copy, including avoiding filler phrases like "excellent customer service", superlatives like "the best", vague descriptions, passive voice, addressing readers as a crowd, jargon, multiple adjectives, and sugary testimonials. It recommends using sensory words, focusing on benefits and problems solved, mentioning objections overcome, focusing on the reader's needs, asking questions, telling stories with examples, and making calls-to-action direct. The goal is to appeal directly to the reader and their needs rather than using empty phrases.
Viewers also liked (14)
Quick & Dirty Tips for : Better PowerPoint Presentations Faster
Quick & Dirty Tips for : Better PowerPoint Presentations Faster
Social Proof Tips to Boost Landing Page Conversions
Social Proof Tips to Boost Landing Page Conversions
Go Viral on the Social Web: The Definitive How-To guide!
Go Viral on the Social Web: The Definitive How-To guide!
17 Copywriting Do's and Don'ts: How To Write Persuasive Content
17 Copywriting Do's and Don'ts: How To Write Persuasive Content
Similar to Predicting Box Office Revenues
Regressioin mini case
This document provides an overview of regression analysis and examples of its applications. It discusses the basics of regression, including distinguishing between continuous and discrete variables and summarizing each. It also explains that regression can be used to determine relationships between variables, predict dependent variable values, and control for other independent variables. Examples provided include predicting box office revenues and analyzing the impact of Southwest Airlines on airfares.
[Custom Data] Alice Nguyen
Alice Nguyen's Submission in Data Story-telling with QuickSight Contest during DevAx Online Workshop Series 2: Data Analytics.
[Custom Data] Alice Nguyen
Alice Nguyen's Submission in Data Story-telling with QuickSight Contest during DevAx Online Workshop Series 2: Data Analytics.
Regression Model for movies
The document discusses exploring and preparing movie data for predictive modeling. It begins by describing the movie dataset, which contains information on 651 movies. Several variables are identified as relevant for understanding audience scores. The data is then cleaned by removing incomplete observations, leaving 650 movies. Exploratory analysis finds most movies are dramas and comedies. Runtimes, ratings, and scores are right-skewed. Graphs are made to visualize distributions of variables like genre, year, and ratings that may impact audience scores.
Predicting Movie Success Using Neural Network
This document describes a study that uses a neural network to predict the success level (flop, hit, or superhit) of Indian movies. The researchers:
1. Collected data on factors that influence movie success, such as the actors, directors, producers, etc. and their past movie performances.
2. Used this historical data to assign weights to each factor and develop a methodology to classify movies into success levels based on thresholds.
3. Trained a neural network using the weighted input data to automate the movie success prediction process.
4. Evaluated the model and found it could accurately predict success levels for 93.3% of movies, based on a confusion matrix analysis of actual
Preannouncement of experience goods references
This document discusses preannouncements in the motion picture industry. It provides background on how movie studios often announce new films months or years before production through information about sought-after properties or actors being considered. The paper aims to link dimensions of preannouncement strategy to audience anticipation and first weekend box office revenues, presenting a conceptual model that includes the moderating roles of studio advertising and third party reviews. It reviews past literature that has mostly focused on search goods rather than experience goods like movies.
Tim P
The document discusses how the entertainment industry is evolving with declining movie attendance and rising streaming, and how Sony Pictures is applying data-driven "Moneyball" approaches like using predictive analytics and machine learning for greenlight decisions and applications like movie recommendation engines and title clustering. It also covers new opportunities in augmented reality, virtual reality and cinematic VR.
Animation Opportunity 2009
This two-day intensive seminar provides an in-depth look at the inner workings of CG animation studios in Hollywood, focusing on development and production. It analyzes why only two studios, Pixar and DreamWorks, consistently produce successful CG animated features, and why other distributors have failed to source and distribute these films. Over the two days, the seminar will cover studio operations, the development process, production pipelines, technology strategies, budgets, and how to navigate the "people and politics" of these large institutions. The presenter is Lance Young, a former executive at DreamWorks Animation who oversaw development and production during his tenure.
Ancillary Texts - What criteria makes a film poster and a magazine cover succ...
A successful film poster and magazine cover use codes and conventions to attract their target audience. Film posters typically include the title, images of key characters, director/producer names, and release date. Magazine covers commonly feature headlines, cover lines, and images that reference the main story. Both posters and covers aim to intrigue viewers with their visual design and unique selling point, such as an exciting image that hints at the narrative and draws the viewer in.
Year10 8/11/07
1. The document outlines the schedule and objectives for a film studies class, including developing a film package to pitch to investors and filming unusual shots.
2. Students must create a treatment, budget, and marketing spin-offs section for their proposed film as part of the package. Example budgets and potential spin-offs are provided.
3. In the afternoon, students will plan and film their own unusual or creative camera shots applying techniques like long takes, unusual angles, or camera tricks.
Similar to Predicting Box Office Revenues (10)
Ancillary Texts - What criteria makes a film poster and a magazine cover succ...
Ancillary Texts - What criteria makes a film poster and a magazine cover succ...
Predicting Box Office Revenues
- 1. Predicting Box Office Revenues Allison Tamaki
- 5. Release Date: July 18, 2008 11
- 6. Release Date: April 19, 2002 11 ↑
- 14. Revenue “Determinants” Entertainment Weekly’s 25 Best Actors of the 90s The Movie Times’ Top 20 Actors Best/Top Actors Academy Award Wins/Nominations Awards R NC-17 U G PG PG-13 MPAA Rating Not Summer Summer (Memorial Day-Labor Day) Release Date Children’s Comedy Documentary Drama Action Science Fiction Horror Thriller Genre NEGATIVE POSITIVE DETERMINANT
- 16. 0.712 TOP DOLLAR ACTORS 0.400 BEST ACTORS 0.150 Yes -0.150 No SUMMER RELEASE -1.028 U (unrated) -0.118 NC-17 -0.079 R 0.312 PG-13 0.380 PG 0.534 G MPAA Rating 0.267 Thriller 0.693 Science Fiction 0.513 Horror -0.408 Drama -1.248 Documentary -0.189 Comedy -0.030 Children’s 0.401 Action GENRE 0.394 CONSTANT COEFFICIENT ( β ij ) CATEGORY “ DETERMINANT”
- 18. The Dark Knight would be predicted to make $233.88 million Actual Gross = $533 million