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    • 2. 发明授权
    • Method and system for seeding online social network contacts
    • 在线社交网络接触播种方法和系统
    • US07885901B2
    • 2011-02-08
    • US10863926
    • 2004-06-08
    • Mark Everett HullF. Randall FarmerEllen Sue Perelman
    • Mark Everett HullF. Randall FarmerEllen Sue Perelman
    • G06Q10/00
    • G06Q10/107G06Q30/02G06Q30/0601G06Q50/01H04L51/32H04L67/306
    • A method, apparatus, and system are directed towards seeding a user's contacts for their online social network. The invention is arranged to automatically recommend to the user a set of seed contacts that the user may employ to invite to join their social network. The set of seed contacts may be harvested from the user's existing portal activities, as well as other sources. In one embodiment, the invention analyzes portal activity, such as email exchanges with the user, and the like, to determine a frequency of contact with the user. Other sources may include but not be limited to emails, names within an address book of the user, names within an address book of another person, a buddy list, an instant messaging list, an activity, a mailing list, an online discussion group, a membership in a category, chat group, and the like.
    • 一种方法,装置和系统被引导用于为他们的在线社交网络播放用户的联系人。 本发明被安排为向用户自动推荐用户可以使用的一组种子联系人来邀请他们加入他们的社交网络。 可以从用户现有的门户活动以及其他来源收集种子联系人。 在一个实施例中,本发明分析门户活动,例如与用户的电子邮件交换等,以确定与用户的接触频率。 其他来源可以包括但不限于电子邮件,用户的地址簿内的姓名,另一人的地址簿内的姓名,好友列表,即时消息收发列表,活动,邮件列表,在线讨论组, 类别中的成员,聊天组等。
    • 4. 发明授权
    • System and method of information filtering using measures of affinity of a relationship
    • 信息过滤的系统和方法使用关系亲和度的度量
    • US07707122B2
    • 2010-04-27
    • US10946636
    • 2004-09-21
    • Mark Everett HullF. Randall FarmerEllen Sue Perelman
    • Mark Everett HullF. Randall FarmerEllen Sue Perelman
    • G06Q10/00G06Q30/00G06F7/00G06F17/30
    • G06Q50/01H04L51/12
    • A system, apparatus, and method are directed towards enabling information filtering using measures of an affinity of a relationship between subscribers of an online portal system. The affinity of a relationship may be determined based, in part, on the tracking of various online behaviors of and between subscribers of the portal system. Any of a variety of behaviors may be tracked, including message communications between subscribers, participation in instant messaging groups, purchases, activities, categories, and so forth. Such behaviors may be employed to determine a level of trust (or affinity) between subscribers of the portal system. This affinity measurement may be used to filter various information, including, but not limited to, product recommendations, ratings, polling queries, advertising, social network communications, personal ads, search results, and the like. Moreover, this affinity measurement may also be employed to perform message spam detection.
    • 系统,装置和方法旨在使用在线门户系统的订户之间的关系的亲和度的度量来启用信息过滤。 关系的亲和性可以部分地基于对门户系统的各种在线行为和用户的跟踪来确定。 可以跟踪任何各种行为,包括订户之间的消息通信,即时消息群组的参与,购买,活动,类别等。 可以采用这种行为来确定门户系统的订户之间的信任级别(或亲和度)。 该亲和测量可以用于过滤各种信息,包括但不限于产品建议,评级,轮询查询,广告,社交网络通信,个人广告,搜索结果等。 此外,还可以采用该亲和度测量来执行消息垃圾邮件检测。