会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 5. 发明授权
    • Detecting and processing cache hits for queries with aggregates
    • 检测和处理具有聚合的查询的缓存命中
    • US09563662B2
    • 2017-02-07
    • US11931947
    • 2007-10-31
    • Donovan Alfred SchneiderEdward Shaw-Lee SuenKazi Atif-Uz Zaman
    • Donovan Alfred SchneiderEdward Shaw-Lee SuenKazi Atif-Uz Zaman
    • G06F7/00G06F17/30
    • G06F17/30483Y10S707/99932Y10S707/99933Y10S707/99934Y10S707/99935Y10S707/99936
    • Techniques to improve query caching performance by efficiently selecting queries stored in a cache for evaluation and increasing the cache hit rate by allowing for inexact matches. A list of candidate queries stored in the cache that potentially could be used to answer a new query is first determined. This list may include all cached queries, cached queries containing exact matches for select list items, or cached queries containing exact and/or inexact matches. Each of at least one candidate query is then evaluated to determine whether or not there is a cache hit, which indicates that the candidate query could be used to answer the new query. The evaluation is performed using a set of rules that allows for inexact matches of aggregates, if any, in the new query. A query plan is generated for the new query based on a specific candidate query with a cache hit.
    • 通过有效地选择存储在缓存中的查询来进行评估来提高查询缓存性能的技术,通过允许不精确的匹配来提高缓存命中率。 首先确定存储在缓存中的潜在可能用于回答新查询的候选查询的列表。 此列表可能包括所有缓存的查询,包含精选列表项的精确匹配的缓存查询,或包含精确和/或不精确匹配的缓存查询。 然后评估至少一个候选查询中的每一个以确定是否存在高速缓存命中,其指示候选查询可以用于回答新查询。 评估是使用一组规则执行的,这些规则允许在新查询中聚合的不精确匹配(如果有)。 基于具有高速缓存命中的特定候选查询,为新查询生成查询计划。
    • 9. 发明授权
    • Systems and methods for providing culturally-relevant search results to users
    • 向用户提供与文化相关的搜索结果的系统和方法
    • US09442985B2
    • 2016-09-13
    • US14188439
    • 2014-02-24
    • AOL Inc.
    • Anthony WiegeringHarmannus VandermolenKaren HoweMichael Sommers
    • G06F17/30
    • G06F17/3053G06F17/30864G06F17/30867Y10S707/99934
    • Search results may be provided to a user. A search query may be received from the user. A query feature vector may be formed for the search query. The query feature vector may be compared with news feature vectors associated with documents related to current events. An augmented query feature vector may be formed based on results of the comparison of the query feature vector with the news feature vectors. The augmented query feature vector may be compared with feature vectors related to target documents. Search results that include target documents may be identified based on results of the comparison of the augmented query feature vector with the feature vectors related to the target documents. The user may be made able to perceive at least some of the identified search results.
    • 搜索结果可能会提供给用户。 可以从用户接收到搜索查询。 可以为搜索查询形成查询特征向量。 可以将查询特征向量与与当前事件相关的文档相关联的新闻特征向量进行比较。 可以基于查询特征向量与新闻特征向量的比较的结果来形成增强查询特征向量。 增强查询特征向量可以与与目标文档相关的特征向量进行比较。 可以基于增强查询特征向量与与目标文档相关的特征向量的比较的结果来识别包括目标文档的搜索结果。 可以使用户能够感知至少一些所识别的搜索结果。