本文整理汇总了Java中org.apache.solr.client.solrj.response.FacetField.Count.setCount方法的典型用法代码示例。如果您正苦于以下问题:Java Count.setCount方法的具体用法?Java Count.setCount怎么用?Java Count.setCount使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类org.apache.solr.client.solrj.response.FacetField.Count
的用法示例。
在下文中一共展示了Count.setCount方法的3个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: findProductsLikedBySimilarUsers
import org.apache.solr.client.solrj.response.FacetField.Count; //导入方法依赖的package包/类
private ModifiableSolrParams findProductsLikedBySimilarUsers(
RecommendQuery query, Integer maxReuslts, FacetField userFacet) {
ModifiableSolrParams solrParams = new ModifiableSolrParams();
if (query.getUser() != null) {
Integer inDegreeSocialNeighSize = findInDegreeSocNeighborhoodSize(query.getUser());
for (Count purchasingUser : userFacet.getValues()) {
Integer purchUserInDegreeSocialNeighSize = findInDegreeSocNeighborhoodSize(purchasingUser.getName());
int preferentialAttachmentScore = inDegreeSocialNeighSize * purchUserInDegreeSocialNeighSize;
preferentialAttachmentScore = (preferentialAttachmentScore == 0) ? 1 : preferentialAttachmentScore;
purchasingUser.setCount(
purchasingUser.getCount() * preferentialAttachmentScore);
}
}
String queryString = RecommendationQueryUtils.
createQueryToFindProdLikedBySimilarUsers(userFacet.getValues(), query.getUser(), contentFilter, "users_purchased", MAX_USER_OCCURENCE_COUNT, 1.0);
queryString += " OR " + RecommendationQueryUtils.
createQueryToFindProdLikedBySimilarUsers(userFacet.getValues(), query.getUser(), contentFilter, "users_marked_favorite", MAX_USER_OCCURENCE_COUNT, 2.0);
queryString += " OR " + RecommendationQueryUtils.
createQueryToFindProdLikedBySimilarUsers(userFacet.getValues(), query.getUser(), contentFilter, "users_viewed", MAX_USER_OCCURENCE_COUNT, 3.0);
String filterQueryString = createFilterQuery(query);
solrParams.set("q", queryString);
solrParams.set("fq", filterQueryString);
solrParams.set("fl", "id");
solrParams.set("rows", maxReuslts);
return solrParams;
}
示例2: findProductsLikedBySimilarUsers
import org.apache.solr.client.solrj.response.FacetField.Count; //导入方法依赖的package包/类
private ModifiableSolrParams findProductsLikedBySimilarUsers(
RecommendQuery query, Integer maxReuslts, FacetField userFacet) {
ModifiableSolrParams solrParams = new ModifiableSolrParams();
if (query.getUser() != null) {
Integer inDegreeSocialNeighSize = findInDegreeSocNeighborhoodSize(query.getUser());
for (Count purchasingUser : userFacet.getValues()) {
Integer purchUserInDegreeSocialNeighSize = findInDegreeSocNeighborhoodSize(purchasingUser.getName());
int preferentialAttachmentScore = inDegreeSocialNeighSize * purchUserInDegreeSocialNeighSize;
preferentialAttachmentScore = (preferentialAttachmentScore == 0) ? 1 : preferentialAttachmentScore;
purchasingUser.setCount(
preferentialAttachmentScore);
}
}
String queryString = RecommendationQueryUtils.
createQueryToFindProdLikedBySimilarUsers(userFacet.getValues(), query.getUser(), contentFilter, "users_purchased", MAX_USER_OCCURENCE_COUNT, 1.0);
queryString += " OR " + RecommendationQueryUtils.
createQueryToFindProdLikedBySimilarUsers(userFacet.getValues(), query.getUser(), contentFilter, "users_marked_favorite", MAX_USER_OCCURENCE_COUNT, 2.0);
queryString += " OR " + RecommendationQueryUtils.
createQueryToFindProdLikedBySimilarUsers(userFacet.getValues(), query.getUser(), contentFilter, "users_viewed", MAX_USER_OCCURENCE_COUNT, 3.0);
String filterQueryString = createFilterQuery(query);
solrParams.set("q", queryString);
solrParams.set("fq", filterQueryString);
solrParams.set("fl", "id");
solrParams.set("rows", maxReuslts);
return solrParams;
}
开发者ID:learning-layers,项目名称:SocRec,代码行数:36,代码来源:CFPurchWithSocCommonNeighborhoodReplacedRecommender.java
示例3: findProductsLikedBySimilarUsers
import org.apache.solr.client.solrj.response.FacetField.Count; //导入方法依赖的package包/类
private ModifiableSolrParams findProductsLikedBySimilarUsers(
RecommendQuery query, Integer maxReuslts, FacetField userFacet) {
ModifiableSolrParams solrParams = new ModifiableSolrParams();
if (query.getUser() != null) {
Integer inDegreeSocialNeighSize = findInDegreeSocNeighborhoodSize(query.getUser());
for (Count purchasingUser : userFacet.getValues()) {
Integer purchUserInDegreeSocialNeighSize = findInDegreeSocNeighborhoodSize(purchasingUser.getName());
int preferentialAttachmentScore = inDegreeSocialNeighSize * purchUserInDegreeSocialNeighSize;
preferentialAttachmentScore = (preferentialAttachmentScore == 0) ? 1 : preferentialAttachmentScore;
purchasingUser.setCount(
purchasingUser.getCount() + preferentialAttachmentScore);
}
}
String queryString = RecommendationQueryUtils.
createQueryToFindProdLikedBySimilarUsers(userFacet.getValues(), query.getUser(), contentFilter, "users_purchased", MAX_USER_OCCURENCE_COUNT, 1.0);
queryString += " OR " + RecommendationQueryUtils.
createQueryToFindProdLikedBySimilarUsers(userFacet.getValues(), query.getUser(), contentFilter, "users_marked_favorite", MAX_USER_OCCURENCE_COUNT, 2.0);
queryString += " OR " + RecommendationQueryUtils.
createQueryToFindProdLikedBySimilarUsers(userFacet.getValues(), query.getUser(), contentFilter, "users_viewed", MAX_USER_OCCURENCE_COUNT, 3.0);
String filterQueryString = createFilterQuery(query);
solrParams.set("q", queryString);
solrParams.set("fq", filterQueryString);
solrParams.set("fl", "id");
solrParams.set("rows", maxReuslts);
return solrParams;
}
开发者ID:learning-layers,项目名称:SocRec,代码行数:36,代码来源:CFPurchWithSocCommonNeighborhoodSummedRecommender.java