Lighthouse real-time data. Users who want to know the latest lighthouse real-time data can download, install and use it with one click through the lighthouse real-time data app provided by this site, so that users can easily query and understand it.
The official introduced the large-model Transformer framework and reconstructed the model structure to predict the T+1 box office and total box office of the film, hoping to get closer to market feedback.
Simply put, the input dimensions are more diverse, including certain film factors (such as film type and schedule), future uncertain factors (such as average attendance per game), and the box office cycle decay information sequence of historical films.
Officials stated that the box office prediction results on the "T+1" day directly reflect the correctness of the publicity strategy, and any problems should be corrected in a timely manner.
1. Second-level real-time box office: grasp the market/movie box office, and support querying movie box office and other indicators by schedule and region;
2. Online broadcast ratings: Real-time updates of the market share of online dramas and variety shows, public opinion index, popularity of animation broadcasts and TV ratings, etc., to quickly understand users’ cross-screen content consumption trends;
3. Performance box office data: Open the box office of the performance industry, support viewing box office data of each performance type, and sales data of individual performance items;
4. Youku, iQiyi, and video online movie account data: the entire network account ranking list and hot search list, to control the online movie box office market and user preferences in a timely manner;
5. Film studio ticket reimbursement expenditures: View ticket reimbursement expenditures in real time, down to the dimensions of cities, film projects, and theaters, making industry data more transparent;
6. Publicity and distribution workbench: Provide digital publicity and distribution services and monitor the popularity and public opinion of videos;
7. Lighthouse Report Center: In-depth insights into the entertainment industry, exclusive reports interpreting market trends;
8. Video ticket purchase user portraits and word-of-mouth: accurately locate core audiences and guide word-of-mouth maintenance strategies;
9. Real-time theater box office/user portrait data: Real-time theater box office inquiry, positioning of competing theaters, and making business decisions; use Alibaba big data to gain insight into theater surroundings and ticket-buying crowds, and better understand the theater’s potential audiences;
10. Movie, theater, and company databases to facilitate information search and query;
11. Market trends: All indicators such as box office, number of theaters, and attendance rates over the years are all included;
12. Industry data analysis: In-depth interpretation of the industry through multi-index comparison and multi-dimensional proportion trend analysis;
13. Movie box office revenue calculator: Provides a quick and convenient cost calculation tool;
14. Video data comparison: Multi-dimensional comparison of up to ten movies, and one-click generation of large comparison pictures;
15. Box office prediction competition: gather professional media from multiple film markets to predict box office information