# movieRecommend
电影推荐系统：spark推荐算法+springboot后端+微信小程序前端
基于spark推荐算法的电影推荐系统设计与实现，采用springboot后端+微信小程序前端.zip
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2023-12-24
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基于spark推荐算法的电影推荐系统设计与实现，采用springboot后端+微信小程序前端.zip （80个子文件） 
movieRecommend-master business 
pom.xml 5KB src test java com example business BusinessApplicationTests.java 384B main resources logback.xml 2KB application.properties 251B java com example business controller DataUserRestApi.java 7KB WxUserController.java 3KB MovieRestApi.java 7KB utils ErrorResult.java 236B RetResult.java 228B HttpClientUtil.java 5KB Constant.java 353B dao mapper MovieMapper.java 2KB RecommendMapper.java 2KB UserWxMapper.java 827B UserDataMapper.java 3KB MovieCategoryProvider.java 2KB pojo BriefActor.java 215B Comment.java 341B BriefMovieWithActor.java 341B Actor.java 235B BriefMovie.java 283B Count.java 134B Rating.java 221B UserWx.java 372B UserData.java 239B Tag.java 183B Movie.java 569B BriefMovieWithTime.java 227B service RecommendService.java 639B UserWxService.java 325B impl MovieServiceImpl.java 3KB UserWxServiceImpl.java 5KB UserDataServiceImpl.java 3KB RecommendServiceImpl.java 5KB UserDataService.java 909B MovieService.java 688B BusinessApplication.java 403B config ClientConfigure.java 986B annotation MethodScope.java 356B InterceptorConfig.java 1KB CacheConfig.java 3KB MyKeyGenerator.java 1KB interceptor TokenInterceptor.java 3KB MessageInterceptor.java 709B GlobalExceptionHandler.java 1KB scrapyMovies actor_change.py 3KB getcomment.py 3KB comment_parse.py 2KB user_change.py 2KB get_ip.py 2KB dataset.py 3KB doubanScrapy scrapy.cfg 267B doubanScrapy __init__.py 0B pipelines.py 4KB spiders __init__.py 161B comment.py 3KB movie_info.py 8KB collect_id.py 2KB items.py 2KB settings.py 8KB middlewares.py 5KB translate.py 2KB add_movie_index.py 1KB elsatic_insert.py 2KB test.py 531B ratting_change.py 1017B recommender kafkastream pom.xml 1KB src main java com qihe kafkastream Application.java 1KB LogProcessor.java 806B offlinerecommender pom.xml 2KB src main scala com qihe offline UserDraw.scala 5KB AlsTrain.scala 2KB OfflineRecommender.scala 5KB UserSim.scala 3KB ContentSim.scala 5KB streamingRecommender pom.xml 2KB src main scala com qihe streaming StreamingRecommender.scala 9KB AllStream.scala 6KB README.md 95B
基于多模型融合策略的电影推荐系统设计与实现.pdf 16.27MB资源评论
