movie_task-源码

电影任务 :movie_camera: 描述 这是使用Django REST框架的Django网站项目。 由于有了该应用程序，您可以从IMDB下载和处理有关电影的信息。 跑 使用DOCKER： 构建并运行： docker-compose up -d --build 重新创建数据库： docker-compose exec web python manage.py makemigrations docker-compose exec web python manage.py migrate docker-compose exec web python manage.py createsuperuser 签入浏览器： 运行脚本： docker-compose exec web python import_data.py command 可用命令： :play_button: fetch_data

大数据项目源代码,电影推荐系统Movie_recommend-master

大数据项目源代码,电影推荐系统Movie_recommend-master,包括实时推荐和离线推荐

Movie_Transfer-源码

Movie_Transfer 档案文件 父亲->查找重叠的电影 清理->数据清理，从IMDB标题数据集中找到IMDB与Douban和IMDB与MovieLens重叠电影的所有属性 HotAE->自动编码器测试 title_DvI.txt-> IMDB和豆瓣的重叠电影 title_MvI.txt-> IMDB和MovieLens的重叠电影 Total_movie.tsv->所有重叠电影的电影标题和属性，可读 * _ID->类别属性的ID ID_ *->指向属性的电影ID np *-> numpy文件以获取所需的属性

flutter_movie-简易版-master.zip

flutter 开发的电影APP

movie_genre-prediction-源码

movie_genre-prediction

Movie_application-using-react:Netflix克隆-源码

Movie_application-using-react:Netflix克隆

The_Interactive_Movie_DB_UI_Design_Using_HTML-_CSS_and_JavaScript-源码

The_Interactive_Movie_DB_UI_Design_Using_HTML-_CSS_and_JavaScript

movie_list-源码

movie_list

20200723用开发板nano-t4（RK3399）拍大片nano-t4_take_movie-master.zip

20200723用开发板nano-t4（RK3399）拍大片nano-t4_take_movie-master.zip

tailwindcss_movie-finder-源码

tailwindcss_movie-finder 使用TMDB API构建顺风CSS电影网站＃

movie_database：movie_database-源码

movie_database：movie_database

movie_review:movie_review-源码

movie_review:movie_review

End-to-End Task-Completion Neural Dialogue Systems

One of the major drawbacks of modu- larized task-completion dialogue systems is that each module is trained individu- ally, which presents several challenges. For example, downstream modules are af- fected by earlier modules, and the per- formance of the entire system is not ro- bust to the accumulated errors. This pa- per presents a novel end-to-end learning framework for task-completion dialogue systems to tackle such issues. Our neu- ral dialogue system can directly interact with a structured database to assist users in accessing information and accomplish- ing certain tasks. The reinforcement learn- ing based dialogue manager offers robust capabilities to handle noises caused by other components of the dialogue system. Our experiments in a movie-ticket book- ing domain show that our end-to-end sys- tem not only outperforms modularized di- alogue system baselines for both objective and subjective evaluation, but also is ro- bust to noises as demonstrated by several systematic experiments with different er- ror granularity and rates specific to the lan- guage understanding module1.

Diagnal_Movie_App-源码

Diagnal_Movie_App

movie_app-源码

movie_app Flutter应用程序。 信息取自 数据库：SQFLite

Movie_project-源码

Movie_project

Movie_Collection-源码

Movie_Collection

movie_api-源码

movie_api