Box Office Prediction System Using Graph-Based Navigation

A study conducted by Mat Kelly from Old Dominion University presents a graph-based navigation system for predicting box office ratings. The research used Visual Analytics techniques to analyze data sourced exclusively from movie IDs and listing files. By leveraging tools like D3.js, JavaScript, and HTML5 API, the system aimed to predict box office ratings by examining sentiment classifications and removing data set restrictions. The process involved scraping data at runtime, sanitizing it, and caching relevant information for subsequent runs. Additionally, the study explored ways to extract desired data related to movies, actors, writers, and directors through official and unofficial IMDb APIs.

• Box Office Prediction
• Graph-Based Navigation
• Visual Analytics
• Web Science
• Digital Libraries

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1. Graph-Based Navigation of a Box Office Prediction System Mat Kelly Web Science and Digital Libraries Research Group Old Dominion University mkelly@cs.odu.edu Presented at: IEEE VIS 2013, 16 October 2013 & CS595, Intro to Web Science, 24 October 2013

2. What? 2

3. Why? VAST Challenge Weigle s Visual Analytics class (Spring 13) Data: IDs, .list files No other data sources allowed Predict Box Office Rating and Take src: bit.ly/movieExplorer demo: bit.ly/ieeevis2013 3

4. How? D3.js, JavaScript, Canvas/SVG, HTML5 API v. 1.1 (rate limited) RegEx, object-ifying for data src: bit.ly/movieExplorer demo: bit.ly/ieeevis2013 4

5. How? D3.js, JavaScript, Canvas/SVG, HTML5 API v. 1.1 (rate limited) RegEx, object-ifying for data sentiment classifier required no initial causal relationship BIG dirty incomplete src: bit.ly/movieExplorer demo: bit.ly/ieeevis2013 5

6. How Else? Remove data set restriction ( cannot VAST) Targeted VIS conf instead Utilize official/unofficial IMDB API Only certain info available through official Unofficial occasionally got C&D d, went down src: bit.ly/movieExplorer demo: bit.ly/ieeevis2013 6

7. Brute Force Scrape data at runtime Sanitize data Discarded irrelevant markup Save id, entity name, other meta info Cache data Reference cache on subsequent runs src: bit.ly/movieExplorer demo: bit.ly/ieeevis2013 7

8. The Desired Data MOVIE1 MOVIE2 MOVIE3 src: bit.ly/movieExplorer demo: bit.ly/ieeevis2013

9. The Desired Data MOVIE1 ACTOR1 ACTOR2 ACTOR3 WRITER MOVIE2 DIRECTOR MOVIE3 src: bit.ly/movieExplorer demo: bit.ly/ieeevis2013 9

10. The Desired Data MOVIE1 ACTOR1 MOVIE1,1 ACTOR2 MOVIE1,2 ACTOR3 WRITER MOVIE1,3 MOVIE2 DIRECTOR MOVIE3 src: bit.ly/movieExplorer demo: bit.ly/ieeevis2013 10

11. The Desired Data MOVIE1 ACTOR1 MOVIE1,1 ACTOR2 MOVIE1,2 ACTOR3 WRITER MOVIE1,3 MOVIE2 DIRECTOR MOVIE3 src: bit.ly/movieExplorer demo: bit.ly/ieeevis2013 11

12. The Desired Data MOVIE1 ACTOR1 MOVIE1,1 ACTOR2 MOVIE1,2 ACTOR3 WRITER MOVIE1,3 MOVIE2 DIRECTOR MOVIE3 src: bit.ly/movieExplorer demo: bit.ly/ieeevis2013 12

13. Caveat! IMDB doesnt like scraping Use proxy to get over JS Same-Origin issues Movie Explorer My proxy script cURL HTTP GET w/ params src: bit.ly/movieExplorer demo: bit.ly/ieeevis2013 13

14. Caveat! IMDB doesnt like scraping Use proxy to get over JS Same-Origin issues Movie Explorer My proxy script cURL HTTP GET w/ params Sanitize Scrape Cache Return webpage src: bit.ly/movieExplorer demo: bit.ly/ieeevis2013 14

15. Caveat! IMDB doesnt like scraping Use proxy to get over JS Same-Origin issues Movie Explorer My proxy script cURL HTTP GET w/ params Sanitize Scrape Cache Sanitized data returned Return webpage src: bit.ly/movieExplorer demo: bit.ly/ieeevis2013 15

16. So, D3.js? -esque var r = 50*prominences[a]/maxProminence; var c = viz.svg.insert("circle") .attr("stroke","blue") .attr("stroke-width","2") .attr("class", "node actor") .attr("context", "movie") .attr("id","actorCircle"+a) .attr("fill","blue") .attr("alt",names[a]) .attr("cx",viz.centralNode.mCircleX) .attr("cy",viz.centralNode.mCircleY) .attr("r",1) .transition() .duration(2000) .attr("cx",pos[a][0]) .attr("cy",pos[a][1]) .attr("r", r) .ease("elastic"); Custom attrs keep nodes JS accessible OOP abstraction used, converted to D3 nodes src: bit.ly/movieExplorer demo: bit.ly/ieeevis2013 16

17. Object Model D3 CONTEXT_ENTITY (CE) Visualization - movies : Movie[] - actors : Actor[] -canvas : DOMCanvasElement - centralNode : CE - drawBasicLayout () - setupCentralNode () - setupNodeInteraction () + switchContext : (newContextEntity : CE) MOVIE - id : String - title : String - actors : String[] - writers : String[] - directors : String{} - fetchActors (id : String) +getMoviesInThreatres () ACTOR - name : String - movies : String[] - fetchMovies () + setMovies (actorName: String) src: bit.ly/movieExplorer demo: bit.ly/ieeevis2013 17

18. Object Model D3 CONTEXT_ENTITY (CE) Visualization - movies : Movie[] - actors : Actor[] -canvas : DOMCanvasElement - centralNode : CE - drawBasicLayout () - setupCentralNode () - setupNodeInteraction () + switchContext : (newContextEntity : CE) MOVIE - id : String - title : String - actors : String[] - writers : String[] - directors : String{} - fetchActors (id : String) +getMoviesInThreatres () ACTOR - name : String - movies : String[] - fetchMovies () + setMovies (actorName: String) src: bit.ly/movieExplorer demo: bit.ly/ieeevis2013 18

19. switchContext(newContextEntity:CE) Converts JS Objects to nodes Resolves references to obj attrs by IDs Fires off D3 functions Setup hide old objects, remove from mem Drawing write SVG DOM elems to canvas Interaction hover/click FX, re-binding to switchContext() for new elements src: bit.ly/movieExplorer demo: bit.ly/ieeevis2013 19

20. Demo http://machawk1.github.io/movieExplorer/ src: bit.ly/movieExplorer demo: bit.ly/ieeevis2013 20