基于Spring Boot的协同过滤算法电影推荐系统

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;
 
import java.util.List;
import java.util.Map;
 
@RestController
@RequestMapping("/recommendation")
public class RecommendationController {
 
    private final RecommenderService recommenderService;
 
    @Autowired
    public RecommendationController(RecommenderService recommenderService) {
        this.recommenderService = recommenderService;
    }
 
    @GetMapping("/movies/{userId}")
    public List<RecommendedMovie> getRecommendedMovies(@PathVariable("userId") int userId) {
        return recommenderService.getRecommendations(userId);
    }
 
    @PostMapping("/rate/{userId}/{movieId}/{rating}")
    public void rateMovie(@PathVariable("userId") int userId,
                          @PathVariable("movieId") int movieId,
                          @PathVariable("rating") double rating) {
        recommenderService.rateMovie(userId, movieId, rating);
    }
 
    @GetMapping("/similarity/{userId}")
    public Map<Integer, Double> getItemSimilarities(@PathVariable("userId") int userId) {
        return recommenderService.getItemSimilarities(userId);
    }
 
    @GetMapping("/user-similarity/{userId}")
    public Map<Integer, Double> getUserSimilarities(@PathVariable("userId") int userId) {
        return recommenderService.getUserSimilarities(userId);
    }
 
    @GetMapping("/train")
    public void trainModel() {
        recommenderService.trainModel();
    }
}

这个代码实例提供了一个简单的Spring Boot REST控制器，它封装了对推荐系统服务RecommenderService的调用。它展示了如何使用Spring的依赖注入和注解来创建RESTful API，以及如何将推荐系统作为后端服务集成到Spring Boot应用程序中。