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Suggesting filters for search on online social networks

机译:为在线社交网络上的搜索建议过滤器

摘要

In one embodiment, a method includes receiving a search query from a client system of a first user; parsing the search query into n-grams, and calculating confidence-scores for entities in a set of query-analysis-entities based on the n-grams, each confidence-score representing a probability that one or more of the n-grams are intended to reference a respective entity; determining a set of search results matching the search query, and calculating entity-frequencies corresponding to entities in a set of results-analysis-entities based on a histogram analysis of the set of search results; calculating a filter-score entities in a set of prospective-entities, which includes entities from the set of query-analysis-entities and the set of results-analysis-entities, based on the respective confidence-score and entity-frequency; and sending, to the client system, suggested filters corresponding to entities having a filter-score greater than a threshold filter-score, the suggested filters being selectable to modify the set of search results.
机译:在一个实施例中,一种方法包括:从第一用户的客户端系统接收搜索查询;将搜索查询解析为n-gram,并基于n-gram计算一组查询分析实体中实体的置信度得分,每个置信度代表一个或多个n-gram被预期的概率引用各自的实体;确定匹配搜索查询的一组搜索结果,并基于对搜索结果集合的直方图分析,计算与一组结果分析实体中的实体相对应的实体频率;根据各自的置信度得分和实体频率,计算一组预期实体中的筛选得分实体,其中包括一组查询分析实体和一组结果分析实体中的实体;并将与过滤器分数大于阈值过滤器分数的实体相对应的建议过滤器发送给客户端系统,该建议过滤器是可选择的,以修改搜索结果集。

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