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公开(公告)号:US07991841B2
公开(公告)日:2011-08-02
申请号:US12110625
申请日:2008-04-28
申请人: Reid M. Anderson , Christian Herwarth Borgs , Jennifer Tour Chayes , Uriel Mordechai Feige , Abraham Flaxman , Adam Tauman Kalai , Seyed Vahab Mirrokni , Moshe Tennenholtz
发明人: Reid M. Anderson , Christian Herwarth Borgs , Jennifer Tour Chayes , Uriel Mordechai Feige , Abraham Flaxman , Adam Tauman Kalai , Seyed Vahab Mirrokni , Moshe Tennenholtz
IPC分类号: G06F15/16
CPC分类号: G06Q30/02
摘要: Systems and methods that analyze aggregated item evaluation behavior of users, to suggest a recommendation for the item. An analysis component forms a collective opinion by taking as input votes of users and trusted relationships established therebetween, to output an evaluation and/or recommendation for the item. Accordingly, within a linked structure of nodes, personalized recommendations to users (e.g., agents) are supplied about an item(s) based upon the opinions/reviews of other users, and in conjunction with the declared trust between the users.
摘要翻译: 分析用户聚合项目评估行为的系统和方法,为项目建议。 分析部分通过以用户的投票方式和在其间建立的信任关系作为投票来形成集体意见,以输出对该项目的评估和/或推荐。 因此,在节点的链接结构中,基于对其他用户的意见/评论,并结合用户之间声明的信任,向用户(例如,代理)提供个性化的建议关于一个或多个项目。
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公开(公告)号:US20090112989A1
公开(公告)日:2009-04-30
申请号:US12110625
申请日:2008-04-28
申请人: Reid M. Anderson , Christian Herwarth Borgs , Jennifer Tour Chayes , Uriel Mordechai Feige , Abraham Flaxman , Adam Tauman Kalai , Seyed Vahab Mirrokni , Moshe Tennenholtz
发明人: Reid M. Anderson , Christian Herwarth Borgs , Jennifer Tour Chayes , Uriel Mordechai Feige , Abraham Flaxman , Adam Tauman Kalai , Seyed Vahab Mirrokni , Moshe Tennenholtz
CPC分类号: G06Q30/02
摘要: Systems and methods that analyze aggregated item evaluation behavior of users, to suggest a recommendation for the item. An analysis component forms a collective opinion by taking as input votes of users and trusted relationships established therebetween, to output an evaluation and/or recommendation for the item. Accordingly, within a linked structure of nodes, personalized recommendations to users (e.g., agents) are supplied about an item(s) based upon the opinions/reviews of other users, and in conjunction with the declared trust between the users.
摘要翻译: 分析用户聚合项目评估行为的系统和方法,为项目建议。 分析部分通过以用户的投票方式和在其间建立的信任关系作为投票来形成集体意见,以输出对该项目的评估和/或推荐。 因此,在节点的链接结构中,基于对其他用户的意见/评论,并结合用户之间声明的信任,向用户(例如,代理)提供个性化的建议关于一个或多个项目。
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公开(公告)号:US20070234005A1
公开(公告)日:2007-10-04
申请号:US11393014
申请日:2006-03-29
IPC分类号: G06F12/00
CPC分类号: G06F17/30949
摘要: Hash tables comprising load factors of up to and above 97% are disclosed. The hash tables may be associated with three or more hash functions, each hash function being applied to a key to identify a location in a hash table. The load factor of a hash table may be increased, obviating any need to increase the size of the hash table to accommodate more insertions. Such increase in load factor may be accomplished by a combination of increasing the number of cells per bucket in a hash table and increasing the number of hash functions associated with the hash table.
摘要翻译: 公开了包含高达和高于97%的负载因子的哈希表。 散列表可以与三个或更多个散列函数相关联,每个散列函数被应用于密钥以标识散列表中的位置。 可以增加散列表的负载因子,从而避免了增加哈希表的大小以适应更多的插入的任何需要。 负载因子的这种增加可以通过增加哈希表中的每个桶的单元数目并增加与散列表相关联的散列函数的数量的组合来实现。
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