COMPUTER IMPLEMENTED METHODS AND APPARATUS FOR DETERMINING WHETHER TO CONTINUE RELATIONSHIPS IN AN ONLINE SOCIAL NETWORK
    11.
    发明申请
    COMPUTER IMPLEMENTED METHODS AND APPARATUS FOR DETERMINING WHETHER TO CONTINUE RELATIONSHIPS IN AN ONLINE SOCIAL NETWORK 有权
    计算机实现的方法和装置,用于确定在在线社交网络中继续关系

    公开(公告)号:US20140019544A1

    公开(公告)日:2014-01-16

    申请号:US13933375

    申请日:2013-07-02

    Inventor: Joel Palmert

    CPC classification number: G06F15/17306 G06Q50/01 H04L51/32

    Abstract: Disclosed are systems, apparatus, methods and computer-readable storage media for determining whether to continue relationships in an online social network. For example, a server can maintain data entries in one or more database tables. A given data entry can include: an identification of an entity, an identification of a user having a social networking relationship with the entity, and an affinity score indicating an amount of interaction by the user with the entity. For each entry, a ratio of the affinity score to a measure of an amount of content associated with the entity and published in a feed accessible by the user can be determined. Depending on the implementation, such ratios can be compared with a threshold and/or ranked to identify candidates for discontinuing social networking relationships.

    Abstract translation: 公开了用于确定是否在在线社交网络中继续关系的系统,装置,方法和计算机可读存储介质。 例如,服务器可以在一个或多个数据库表中维护数据条目。 给定的数据条目可以包括:实体的标识,与实体具有社交网络关系的用户的标识,以及表示用户与实体的交互量的亲和度分数。 对于每个条目,可以确定亲和度得分与与该实体相关联并在用户可访问的供稿中发布的内容量的度量的比率。 根据实施情况,这样的比率可以与阈值进行比较和/或排名以识别用于停止社交网络关系的候选者。

    Computer implemented methods and apparatus for recommending events

    公开(公告)号:US09892170B2

    公开(公告)日:2018-02-13

    申请号:US15422178

    申请日:2017-02-01

    Abstract: Disclosed are methods, apparatus, systems, and computer-readable storage media for recommending an event to a user. In some implementations, one or more servers receive information identifying a plurality of events. The one or more servers store data of the plurality of events in a first one or more data tables having an action field, an item field, and a user field, and analyze the data of the first one or more data tables to generate one or more pairs, each pair including information identifying a set of events and a target event. The one or more servers may calculate a similarity score for each of the one or more pairs and store the respective similarity score in a second one or more data table having a set field, a target event field, and a similarity score field.

    Methods and Systems for Performing Time-partitioned Collaborative Filtering

    公开(公告)号:US20170206281A1

    公开(公告)日:2017-07-20

    申请号:US15479181

    申请日:2017-04-04

    Inventor: Joel Palmert

    Abstract: In accordance with disclosed embodiments, there are provided methods, systems, and apparatuses for performing time-partitioned collaborative filtering in an on-demand service environment including, for example, receiving as input, a plurality of access requests for data stored within the host organization and a corresponding plurality of actions for the data to which access is requested; accessing an input table having a time field, action field, item field, and agent field therein; recording time data and agent data for each of the received plurality of access requests and the corresponding plurality of actions; recording an item within the item field and an action within the action field for each of the received plurality of access requests and the corresponding plurality of actions based on the action performed on an item of the data to which access is requested; and analyzing the input table to generate one or more pairs of first actions and items to second actions and items and a time based score for each of the one or more pairs, in which the time based score is dependent upon a time between the actions for each of the one or more pairs. Other related embodiments are disclosed.

    GENERATING OR UPDATING SETS OF EVENTS USING A DATABASE SYSTEM
    14.
    发明申请
    GENERATING OR UPDATING SETS OF EVENTS USING A DATABASE SYSTEM 审中-公开
    使用数据库系统生成或更新事件集

    公开(公告)号:US20170046407A1

    公开(公告)日:2017-02-16

    申请号:US15339238

    申请日:2016-10-31

    Abstract: Disclosed are methods, apparatus, systems, and computer-readable storage media for generating or updating sets of events. In some implementations, a database storing data records representing events can be maintained. A selection of a first event can be processed. A first timestamp associated with the first event can be identified. A first set of events comprising the first event a first portion of other events can be generated or updated. A second set of events comprising the first event a second portion of other events can be generated or updated. A first frequency of matched events can be determined for the first set of events. A second frequency of matched events can be determined for the second set of events. It can be determined that the first frequency is greater than the second frequency. A similarity associated with the first event can be generated or updated. The first set of events can be provided to a client device.

    Abstract translation: 公开了用于生成或更新事件集合的方法,装置,系统和计算机可读存储介质。 在一些实现中,可以维护存储表示事件的数据记录的数据库。 可以处理第一个事件的选择。 可以识别与第一事件相关联的第一时间戳。 可以生成或更新包括其他事件的第一部分的第一事件的第一组事件。 可以生成或更新包括其他事件的第二部分的第一事件的第二组事件。 可以针对第一组事件确定匹配事件的第一个频率。 可以针对第二组事件来确定匹配事件的第二频率。 可以确定第一频率大于第二频率。 可以生成或更新与第一事件相关联的相似性。 可以将第一组事件提供给客户端设备。

    COMPUTER IMPLEMENTED METHODS AND APPARATUS FOR IDENTIFYING SIMILAR LABELS USING COLLABORATIVE FILTERING
    15.
    发明申请
    COMPUTER IMPLEMENTED METHODS AND APPARATUS FOR IDENTIFYING SIMILAR LABELS USING COLLABORATIVE FILTERING 有权
    计算机实现方法和使用协同过滤识别类似标签的设备

    公开(公告)号:US20140207777A1

    公开(公告)日:2014-07-24

    申请号:US14161232

    申请日:2014-01-22

    CPC classification number: G06F17/30312 G06F17/30979

    Abstract: Disclosed are methods, apparatus, systems, and computer-readable storage media for identifying similar labels. In some implementations, one or more servers maintain a plurality of data entries in one or more database tables storing textual data, each data entry of a first portion of the data entries including: a text sequence, a label, and a text-to-label association score, and each data entry of a second portion of the data entries including: a first label, a second label, and a similarity score. The one or more servers analyze the data of the first portion of data entries to generate one or more pairs, each pair including information identifying a first label and a second label. The one or more servers calculate a similarity score for each of the one or more pairs and store the respective similarity scores in the second portion of the data entries.

    Abstract translation: 公开了用于识别类似标签的方法,装置,系统和计算机可读存储介质。 在一些实现中,一个或多个服务器在存储文本数据的一个或多个数据库表中维护多个数据条目,数据条目的第一部分的每个数据条目包括:文本序列,标签和文本 - 标签关联分数,并且数据条目的第二部分的每个数据条目包括:第一标签,第二标签和相似性得分。 一个或多个服务器分析数据条目的第一部分的数据以生成一个或多个对,每对包括标识第一标签和第二标签的信息。 一个或多个服务器计算一个或多个对中的每一个的相似性得分,并将相应的相似度得分存储在数据条目的第二部分中。

    Methods and systems for performing time-partitioned collaborative filtering

    公开(公告)号:US10572562B2

    公开(公告)日:2020-02-25

    申请号:US15479181

    申请日:2017-04-04

    Inventor: Joel Palmert

    Abstract: In accordance with disclosed embodiments, there are provided methods, systems, and apparatuses for performing time-partitioned collaborative filtering in an on-demand service environment including, for example, receiving as input, a plurality of access requests for data stored within the host organization and a corresponding plurality of actions for the data to which access is requested; accessing an input table having a time field, action field, item field, and agent field therein; recording time data and agent data for each of the received plurality of access requests and the corresponding plurality of actions; recording an item within the item field and an action within the action field for each of the received plurality of access requests and the corresponding plurality of actions based on the action performed on an item of the data to which access is requested; and analyzing the input table to generate one or more pairs of first actions and items to second actions and items and a time based score for each of the one or more pairs, in which the time based score is dependent upon a time between the actions for each of the one or more pairs. Other related embodiments are disclosed.

    Methods and systems for performing time-partitioned collaborative filtering

    公开(公告)号:US09639616B2

    公开(公告)日:2017-05-02

    申请号:US13633730

    申请日:2012-10-02

    Inventor: Joel Palmert

    CPC classification number: G06F17/30867 G06F7/20 G06F17/30339

    Abstract: In accordance with disclosed embodiments, there are provided methods, systems, and apparatuses for performing time-partitioned collaborative filtering in an on-demand service environment including, for example, receiving as input, a plurality of access requests for data stored within the host organization and a corresponding plurality of actions for the data to which access is requested; accessing an input table having a time field, action field, item field, and agent field therein; recording time data and agent data for each of the received plurality of access requests and the corresponding plurality of actions; recording an item within the item field and an action within the action field for each of the received plurality of access requests and the corresponding plurality of actions based on the action performed on an item of the data to which access is requested; and analyzing the input table to generate one or more pairs of first actions and items to second actions and items and a time based score for each of the one or more pairs, in which the time based score is dependent upon a time between the actions for each of the one or more pairs. Other related embodiments are disclosed.

    COMBINING TOPIC SUGGESTIONS FROM DIFFERENT TOPIC SOURCES TO ASSIGN TO TEXTUAL DATA ITEMS
    18.
    发明申请
    COMBINING TOPIC SUGGESTIONS FROM DIFFERENT TOPIC SOURCES TO ASSIGN TO TEXTUAL DATA ITEMS 审中-公开
    组合不同主题来源的主题建议,以分配到文本数据项

    公开(公告)号:US20160306878A1

    公开(公告)日:2016-10-20

    申请号:US15190554

    申请日:2016-06-23

    Inventor: Joel Palmert

    CPC classification number: G06F16/345 G06F16/313 G06F17/277

    Abstract: Disclosed are systems, apparatus, methods and computer-readable storage media for combining topic suggestions from different topic sources to assign to textual data items. In some implementations, a first automated topic source provides one or more first topic suggestions to associate with a textual data item. Each first topic suggestion has a respective first characteristic, which can be adjusted. A second automated topic source provides one or more second topic suggestions to associate with the textual data item. Each second topic suggestion has a respective second characteristic, which can be adjusted. The first and second topic suggestions are combined to define a combined list. A reference value is determined or retrieved to impact ordering of the topic suggestions in the combined list.

    Abstract translation: 公开了用于组合来自不同主题源的主题建议以分配给文本数据项的系统,装置,方法和计算机可读存储介质。 在一些实现中,第一自动主题源提供与文本数据项相关联的一个或多个第一主题建议。 每个第一个主题建议都有相应的第一个特征,可以进行调整。 第二自动主题源提供与文本数据项相关联的一个或多个第二主题建议。 每个第二个主题建议都有相应的第二个特征,可以进行调整。 第一个和第二个主题建议被组合以定义组合列表。 确定或检索参考值以影响组合列表中主题建议的排序。

    Combining topic suggestions from different topic sources to assign to textual data items
    19.
    发明授权
    Combining topic suggestions from different topic sources to assign to textual data items 有权
    组合来自不同主题来源的主题建议分配给文本数据项

    公开(公告)号:US09400840B2

    公开(公告)日:2016-07-26

    申请号:US14221971

    申请日:2014-03-21

    Inventor: Joel Palmert

    CPC classification number: G06F17/30719 G06F17/277 G06F17/30616

    Abstract: Disclosed are systems, apparatus, methods and computer-readable storage media for combining topic suggestions from different topic sources to assign to textual data items. In some implementations, a first automated topic source provides one or more first topic suggestions to associate with a textual data item. Each first topic suggestion has a respective first characteristic, which can be adjusted. A second automated topic source provides one or more second topic suggestions to associate with the textual data item. Each second topic suggestion has a respective second characteristic, which can be adjusted. The first and second topic suggestions are combined to define a combined list. A reference value is determined or retrieved to impact ordering of the topic suggestions in the combined list.

    Abstract translation: 公开了用于组合来自不同主题源的主题建议以分配给文本数据项的系统,装置,方法和计算机可读存储介质。 在一些实现中,第一自动主题源提供与文本数据项相关联的一个或多个第一主题建议。 每个第一个主题建议都有相应的第一个特征,可以进行调整。 第二自动主题源提供与文本数据项相关联的一个或多个第二主题建议。 每个第二个主题建议都有相应的第二个特征,可以进行调整。 第一个和第二个主题建议被组合以定义组合列表。 确定或检索参考值以影响组合列表中主题建议的排序。

    Computer implemented methods and apparatus for determining whether to continue relationships in an online social network
    20.
    发明授权
    Computer implemented methods and apparatus for determining whether to continue relationships in an online social network 有权
    用于确定是否在在线社交网络中继续关系的计算机实现的方法和装置

    公开(公告)号:US09075766B2

    公开(公告)日:2015-07-07

    申请号:US13933375

    申请日:2013-07-02

    Inventor: Joel Palmert

    CPC classification number: G06F15/17306 G06Q50/01 H04L51/32

    Abstract: Disclosed are systems, apparatus, methods and computer-readable storage media for determining whether to continue relationships in an online social network. For example, a server can maintain data entries in one or more database tables. A given data entry can include: an identification of an entity, an identification of a user having a social networking relationship with the entity, and an affinity score indicating an amount of interaction by the user with the entity. For each entry, a ratio of the affinity score to a measure of an amount of content associated with the entity and published in a feed accessible by the user can be determined. Depending on the implementation, such ratios can be compared with a threshold and/or ranked to identify candidates for discontinuing social networking relationships.

    Abstract translation: 公开了用于确定是否在在线社交网络中继续关系的系统,装置,方法和计算机可读存储介质。 例如,服务器可以在一个或多个数据库表中维护数据条目。 给定的数据条目可以包括:实体的标识,与实体具有社交网络关系的用户的标识,以及表示用户与实体的交互量的亲和度分数。 对于每个条目,可以确定亲和度得分与与该实体相关联并在用户可访问的供稿中发布的内容量的度量的比率。 根据实施情况,这样的比率可以与阈值进行比较和/或排名以识别用于停止社交网络关系的候选者。

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