movie-recommender-demo-master.zip （91个子文件） 
movie-recommender-demo-master 
manifest.yml 637B docs 
latent_factors.png 160KB why_recommender_systems Slide3.png 487KB Slide2.png 283KB Slide1.png 483KB overview_application_architecture.png 233KB screenshot_ratings.png 275KB screenshot_recommendations.png 486KB movie-recommender-demo.png 39KB
movie_recommender_technologies.pptx 2.14MB movie_recommender_search_harry.png 294KB web_app Vagrantfile 1KB
runtime.txt 13B .cfignore 70B data movies.dat 204KB generate_movie_data.py 3KB ratings.dat 8.5MB README.md 196B Procfile 33B app models.py 8KB auth __init__.py 175B views.py 2KB forms.py 1KB templates 
404.html 170B auth login.html 524B register.html 353B base.html 4KB 500.html 198B main embed.html 1KB bi_no_records.html 320B recommendations.html 3KB search_results.html 4KB bi_connection_issue.html 228B home.html 2KB bi_not_enabled.html 279B not_implemented_yet.html 185B static movie-recommender-demo.png 233KB favicon.ico 1KB __init__.py 673B cloudant_db.py 649B main __init__.py 158B views.py 8KB forms.py 232B messagehub_client.py 2KB views.py 243B redis_db.py 438B dao.py 12KB requirements.txt 787B run.sh 893B manage.py 1KB .gitignore 232B config.py 2KB etc cloudant_vcap.json_template 215B redis_vcap.json_template 165B messagehub_vcap.json_template 302B db_setup.py 6KB .cfignore 27B licenses.md 857B LICENSE 11KB hdp_app gradlew.bat 2KB gradlew 5KB send_message.py 1KB LICENSE 11KB gradle wrapper 
gradle-wrapper.jar 52KB gradle-wrapper.properties 230B src main scala com ibm cds spark samples config MessageHubConfig.scala 5KB DemoConfig.scala 2KB dstream KafkaInputDStream.scala 4KB biginsights examples MessageHubConsumer.scala 2KB .gitignore 125B README.md 2KB etc vcap.json_template 182B bi_connection.properties_template 81B .gitignore 35B build.gradle 7KB libs README 165B messagehub.login-1.0.0.jar 8KB MANUAL_INSTALLATION.md 4KB .gitignore 42B launchConfigurations movie-recommender-demo.launch 575B README.md 4KB notebooks Prerequisites 00 - DSX Signup and Overview.ipynb 2KB Step 05 - Setup Movie Recommendation Web App.ipynb 3KB Prerequisites 01 - Spark Hello World.ipynb 103KB Step 03 - Predict ratings.ipynb 7KB Step 07 - Cloudant Datastore Recommender.ipynb 18KB Step 04 - Realtime Recommendations.ipynb 6KB Introduction.ipynb 4KB Step 02 - Train model.ipynb 1.31MB Step 06 - Install Spark Cloudant.ipynb 2KB Step 01 - Exploratory analysis.ipynb 1.33MB资源评论
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