前言
💖💖作者：计算机程序员小杨 💙💙个人简介：我是一名计算机相关专业的从业者，擅长Java、微信小程序、Python、Golang、安卓Android等多个IT方向。会做一些项目定制化开发、代码讲解、答辩教学、文档编写、也懂一些降重方面的技巧。热爱技术，喜欢钻研新工具和框架，也乐于通过代码解决实际问题，大家有技术代码这一块的问题可以问我！ 💛💛想说的话：感谢大家的关注与支持！ 💕💕文末获取源码联系 计算机程序员小杨 💜💜 网站实战项目 安卓/小程序实战项目 大数据实战项目 深度学习实战项目 计算机毕业设计选题 💜💜
一.开发工具简介
开发语言：Java+Python（两个版本都支持） 后端框架：Spring Boot(Spring+SpringMVC+Mybatis)+Django（两个版本都支持） 前端：Vue+ElementUI+HTML 数据库：MySQL 系统架构：B/S 开发工具：IDEA（Java的）或者PyCharm（Python的）
二.系统内容简介
《Java美剧观影网站》是一个基于Spring Boot+Vue技术栈开发的B/S架构在线视频观看平台，专注为用户提供优质的美剧观看体验和社交互动服务。系统采用前后端分离的设计模式，后端利用Spring Boot框架整合Spring、SpringMVC、MyBatis等组件构建稳定的服务层，前端运用Vue.js配合ElementUI组件库打造直观友好的用户界面。平台核心功能涵盖用户账户管理、美剧分类检索、影片信息展示、在线观看服务、社区论坛交流以及系统运营管理等模块。用户可以通过平台浏览各类美剧资源，参与评论互动，分享观影心得，同时管理员能够便捷地维护影片库、处理用户反馈、管理社区内容。系统数据存储基于MySQL数据库，确保信息的安全性和访问效率，为美剧爱好者构建了一个集观影、交流、分享于一体的综合性网络平台。
三.系统功能演示
四.系统界面展示
五.系统源码展示
import org.apache.spark.sql.SparkSession;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import java.util.*;
@Service
public class TvShowService {
@Autowired
private TvShowMapper tvShowMapper;
private SparkSession spark = SparkSession.builder().appName("TvShowAnalysis").master("local[*]").getOrCreate();
public PageResult<TvShow> getTvShowsByCategory(String category, int pageNum, int pageSize) {
int offset = (pageNum - 1) * pageSize;
List<TvShow> shows = tvShowMapper.selectByCategory(category, offset, pageSize);
for (TvShow show : shows) {
show.setViewCount(show.getViewCount() + 1);
show.setPopularityScore(calculatePopularity(show));
if (show.getRating() == null) {
show.setRating(calculateAverageRating(show.getId()));
}
show.setRecommendationLevel(getRecommendationLevel(show.getPopularityScore(), show.getRating()));
updateShowStatistics(show.getId());
}
int total = tvShowMapper.countByCategory(category);
return new PageResult<>(shows, total, pageNum, pageSize);
}
private double calculatePopularity(TvShow show) {
double viewWeight = show.getViewCount() * 0.4;
double commentWeight = show.getCommentCount() * 0.3;
double ratingWeight = (show.getRating() != null ? show.getRating() : 0) * 0.2;
double timeWeight = getTimeWeight(show.getCreateTime()) * 0.1;
return viewWeight + commentWeight + ratingWeight + timeWeight;
}
private double getTimeWeight(Date createTime) {
long daysDiff = (System.currentTimeMillis() - createTime.getTime()) / (1000 * 60 * 60 * 24);
return Math.max(0, 100 - daysDiff * 0.1);
}
public boolean addUserInteraction(Long userId, Long showId, String interactionType) {
UserInteraction interaction = new UserInteraction();
interaction.setUserId(userId);
interaction.setShowId(showId);
interaction.setInteractionType(interactionType);
interaction.setCreateTime(new Date());
interaction.setIpAddress(getCurrentUserIp());
if ("COMMENT".equals(interactionType)) {
interaction.setInteractionScore(5);
updateUserEngagement(userId, 5);
} else if ("LIKE".equals(interactionType)) {
interaction.setInteractionScore(2);
updateUserEngagement(userId, 2);
} else if ("SHARE".equals(interactionType)) {
interaction.setInteractionScore(3);
updateUserEngagement(userId, 3);
}
int result = userInteractionMapper.insert(interaction);
if (result > 0) {
updateShowPopularity(showId);
checkUserLevelUpgrade(userId);
sendInteractionNotification(userId, showId, interactionType);
}
return result > 0;
}
private void updateUserEngagement(Long userId, int score) {
User user = userMapper.selectById(userId);
user.setEngagementScore(user.getEngagementScore() + score);
user.setLastActiveTime(new Date());
if (user.getEngagementScore() > 1000) {
user.setUserLevel("VIP");
user.setVipExpireTime(new Date(System.currentTimeMillis() + 30L * 24 * 60 * 60 * 1000));
}
userMapper.updateById(user);
}
public Map<String, Object> generateUserRecommendations(Long userId, int limit) {
User user = userMapper.selectById(userId);
List<String> userPreferences = getUserPreferences(userId);
List<Long> viewHistory = getViewHistory(userId);
Map<String, Double> categoryScores = new HashMap<>();
for (String preference : userPreferences) {
categoryScores.put(preference, categoryScores.getOrDefault(preference, 0.0) + 1.0);
}
List<TvShow> candidateShows = tvShowMapper.selectRecommendationCandidates(userId, limit * 3);
List<TvShow> recommendations = new ArrayList<>();
for (TvShow show : candidateShows) {
if (viewHistory.contains(show.getId())) continue;
double score = 0.0;
score += categoryScores.getOrDefault(show.getCategory(), 0.0) * 0.4;
score += show.getRating() * 0.3;
score += show.getPopularityScore() * 0.2;
score += getSimilarUserPreference(userId, show.getId()) * 0.1;
show.setRecommendationScore(score);
recommendations.add(show);
}
recommendations.sort((a, b) -> Double.compare(b.getRecommendationScore(), a.getRecommendationScore()));
List<TvShow> finalRecommendations = recommendations.subList(0, Math.min(limit, recommendations.size()));
for (TvShow show : finalRecommendations) {
logRecommendation(userId, show.getId(), show.getRecommendationScore());
}
Map<String, Object> result = new HashMap<>();
result.put("recommendations", finalRecommendations);
result.put("userLevel", user.getUserLevel());
result.put("totalRecommendations", finalRecommendations.size());
return result;
}
private double getSimilarUserPreference(Long userId, Long showId) {
List<Long> similarUsers = userInteractionMapper.findSimilarUsers(userId, 10);
int positiveInteractions = 0;
for (Long similarUserId : similarUsers) {
if (userInteractionMapper.hasPositiveInteraction(similarUserId, showId)) {
positiveInteractions++;
}
}
return similarUsers.isEmpty() ? 0.0 : (double) positiveInteractions / similarUsers.size();
}
}
六.系统文档展示
结束
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