【推荐系统篇】--推荐系统之测试数据
一、前述
线上模型部分根据用户的行为数据进行推荐,相当于测试数据
二、具体代码
package com.alibaba.dubbo.demo.impl; import com.alibaba.dubbo.demo.RcmdService; import redis.clients.jedis.Jedis; import java.util.*; public class RcmdServiceImpl implements RcmdService { @Override public List<String> getRcmdList(String uid) { // 获得数据库连接 Jedis jedis = new Jedis("node05", 6379); jedis.select(2); // 从用户历史下载表来获取最近下载 String downloadListString = jedis.hget("rcmd_user_history", uid); String[] downloadList = downloadListString.split(","); // 获取所有应用ID列表 Set<String> appList = jedis.hkeys("rcmd_item_list"); //获取的是所有的app keys // 存储总的特征分值 Map<String, Double> scores = new HashMap<String, Double>(); // 分别计算所有应用的总权重 for (String appId : appList) { // 计算关联权重 double relativeFeatureScore = this.getRelativeFeatureScore(appId, downloadList, jedis); updateScoresMap(scores, appId, relativeFeatureScore); // 计算基本权重 double basicFeatureScore = this.getBasicFeatureScore(appId, jedis); updateScoresMap(scores, appId, basicFeatureScore); } //这里将map.entrySet()转换成list List<Map.Entry<String, Double>> list = new ArrayList<Map.Entry<String, Double>>(scores.entrySet()); //然后通过比较器来实现排序 Collections.sort(list, new Comparator<Map.Entry<String, Double>>() { //升序排序 public int compare(Map.Entry<String, Double> o1, Map.Entry<String, Double> o2) { return -o1.getValue().compareTo(o2.getValue());//自定义排序,降序排序 } }); // 打印分值 // for (Map.Entry<String, Double> mapping : list) { // System.out.println(mapping.getKey() + ":" + mapping.getValue()); // } // 取前10个appID返回 List<String> result = new ArrayList<>(); int count = 0; for (Map.Entry<String, Double> mapping : list) { count++; result.add(mapping.getKey()); if(count==10){ break; } } jedis.close(); return result; } private void updateScoresMap(Map<String, Double> scores, String appName, double score) { if (scores.get(appName) == null) { scores.put(appName, score); } else { scores.put(appName, scores.get(appName) + score); } } /** * 获取关联特征权重!!! * @param appId * @param downloadList * @param jedis * @return */ private double getRelativeFeatureScore(String appId, String[] downloadList, Jedis jedis) { double score = 0.0; for (String downloadAppId : downloadList) { // Item.id*Item.id@70*193 // 构成关联特征 String feature = "Item.id*Item.id@" + appId + "*" + downloadAppId; String rcmd_features_score = jedis.hget("rcmd_features_score", feature);//拿到模型中的权重 if(rcmd_features_score!=null){ score += Double.valueOf(rcmd_features_score); } String featurex = "Item.id*Item.id@" + downloadAppId + "*" + appId;//将模型中的特征翻转 appid100*app1或者app1*app100 String rcmd_features_scorex = jedis.hget("rcmd_features_score", featurex); if(rcmd_features_scorex!=null) { score += Double.valueOf(rcmd_features_scorex); } } return score; } /** * 获取app的基本特征权重!!! * @param appId * @param jedis * @return */ private double getBasicFeatureScore(String appId, Jedis jedis) { // 存储基本特征分值 double basicScore = 0.0; // 从商品词表取基本特征 /* Item.id@146 软件ID Item.name@183 名字 Item.author@zhouming 作者 Item.sversion@1.3.2 版本号 Item.ischarge@1 是否收费 Item.dgner@husheng 设计者 Item.font@Consolos 字体 Item.icount@4 图片数量 Item.icount_dscrt@4 Item.stars@5 星级 Item.price 价格 Item.fsize@6 文件大小 Item.fsize_dscrt@6 Item.comNum@0 评论数量 Item.comNum_dscrt@0 Item.screen@FHD 屏幕类型 Item.downNum@200 下载数 Item.downNum_dscrt@200 */ String[] basicFeatureNames = {"Item.id", "Item.name", "Item.author", "Item.sversion", "Item.ischarge" , "Item.dgner", "Item.font", "Item.icount", "Item.icount_dscrt", "Item.stars", "Item.price" , "Item.fsize", "Item.fsize_dscrt", "Item.comNum", "Item.comNum_dscrt", "Item.screen", "Item.downNum" , "Item.downNum_dscrt"}; String rcmd_item_list = jedis.hget("rcmd_item_list", appId);//基本特征中的值 String[] basicFeatures = rcmd_item_list.split("\t"); for (int i = 0; i < basicFeatureNames.length; i++) {//遍历前缀集合 String rcmd_features_score = jedis.hget("rcmd_features_score", basicFeatureNames[i] + "@" + basicFeatures[i]); if (rcmd_features_score != null) { basicScore += Double.valueOf(rcmd_features_score); } } return basicScore; } }