推荐引擎PlusAnonymousConcurrentUserDataModel java示例

Question

我正在尝试编写一个应该使用该函数的推荐系统代码 PlusAnonymousConcurrentUserDataModel 获取新用户的临时配置文件

我在用mahout 有人能举个例子吗

任何帮助都将不胜感激

干杯 金斯利

Answer 1

我假设您已经有一个模型在运行，下面是您需要的代码，以使PlusAnonymousConcurrentUserDataModel正常工作

// Build your datamodel
DataModel dataModel = ...

// Build anonymous data model with previous datamodel
PlusAnonymousConcurrentUserDataModel anonymousDataModel = new PlusAnonymousConcurrentUserDataModel(dataModel, 100); 

// Configure and build your recommender 
UserSimilarity similarity = new PearsonCorrelationSimilarity(model);
UserNeighborhood neighborhood = new NearestNUserNeighborhood(25, similarity, model);//

recommender = new CachingRecommender(new GenericUserBasedRecommender(anonymousDataModel, neighborhood, similarity));

现在，如果用户存在，您可以像往常一样检索建议。否则：

//Get new user id
long newUserID = anonymousDataModel.takeAvailableUser();

// fill a Mahout data structure with the user's preferences
GenericUserPreferenceArray tempPrefs = new GenericUserPreferenceArray(dUserPreferences.size());


int i = 0;
for(Map.Entry<Long, Float> entry : dUserPreferences.entrySet()) {
    Long key = entry.getKey();
    Float value = entry.getValue();

    tempPrefs.setUserID(i, newUserID);
    tempPrefs.setItemID(i, key);
    tempPrefs.setValue(i, value);

    i++;
}

// Add the temporaly preferences to model
anonymousDataModel.setTempPrefs(tempPrefs, newUserID);

// And get recommendations
List<RecommendedItem> recommendations = recommender.recommend(newUserID, count);