公开(公告)号：US20160217181A1

公开(公告)日：2016-07-28

申请号：US13830011

申请日：2013-03-14

Applicant: Google Inc.

Inventor： David Kadouch ,  Sivan Eiger ,  Lev Finkelstein ,  Alon Mittelman ,  Dan Guez ,  Uri Bernstein ,  Valeria Helfand ,  Yosi Markovich ,  Eddo Kim

IPC: G06F17/30

CPC classification number: G06F16/951 ,  G06F16/3323

Abstract: Methods and apparatus for annotating query suggestions. Some implementations are directed to methods and apparatus for annotating a query suggestion with a semantic description to provide additional information about the meaning of the query suggestion.

Abstract translation: 注释查询建议的方法和设备。 一些实现涉及用于用语义描述注释查询建议的方法和装置，以提供关于查询建议的含义的附加信息。

公开(公告)号：US08886662B1

公开(公告)日：2014-11-11

申请号：US13858208

申请日：2013-04-08

Applicant: Google Inc.

Inventor： Lev Finkelstein ,  Eddo Kim ,  Ari Shotland ,  Alon Mittelman

IPC: G06F17/30

CPC classification number: G06F17/3097 ,  G06F17/3064

Abstract: A technology is described herein for identifying suggested query completions for a partial query based upon unique queries which have suffixes similar to the suffix of the partial query, but have prefixes which do not contain the prefix of the partial query. The technology described herein selects suggested query completions for the partial query based on terms occurring at the ends of the unique queries, in a manner which is not limited to past queries that include all of the terms in the partial query. As a result, meaningful suggested query completions that are likely to assist the user in completing a partial query can be provided in instances where terms in the prefix of the partial query are ambiguous or uncommon.

Abstract translation: 本文描述了一种用于基于具有与部分查询的后缀相似的后缀但具有不包含部分查询的前缀的前缀的唯一查询来识别部分查询的建议查询完成的技术。 本文描述的技术基于在唯一查询的结尾处出现的术语来选择部分查询的建议查询完成，其方式不限于包括部分查询中的所有术语的过去查询。 因此，在部分查询的前缀中的术语不明确或不常见的情况下，可以提供可能有助于用户完成部分查询的有意义的建议查询完成。

公开(公告)号：US08880607B1

公开(公告)日：2014-11-04

申请号：US13656425

申请日：2012-10-19

Applicant: Google Inc.

Inventor： Ron Merom ,  Avinatan Hassidim ,  Yossi Matias ,  Alon Mittelman ,  Tal Uziely ,  Hilly Meerovitch ,  Tzvi Itzhak Barenholz ,  Sigalit Bar ,  Ari J. Leichtberg

IPC: G06F15/16

CPC classification number: G06Q50/01 ,  G06Q10/10

Abstract: Implementations of the present disclosure include generating one or more suggested social circles based on an analysis of past user interactions. The user can accept the suggested social circle and use it to distribute digital content. Generating a suggested social circle can include determining, for each of various sets of contacts, an initial score that represents a strength of the particular user's affinity to the set as a whole based on prior interactions of the particular user with the set, and determining, for each member of each set, an individual score that represents an average strength of the particular user's affinity to the member based on the interactions. An overall score for each set is calculated based on the initial score for the set and the individual scores of each member in the set. Based on the overall scores, at least one of the sets is identified for presentation as a suggested social circle to the particular user. Social circle data corresponding to the suggested social circle is transmitted to display a representation of the suggested social circle on a client device associated with the particular user.

Abstract translation: 本公开的实现包括基于对过去的用户交互的分析来生成一个或多个建议的社交圈。 用户可以接受建议的社交圈，并使用它来分发数字内容。 生成建议的社交圈可以包括为每个不同的联系人集合确定初始分数，其基于特定用户与该组的先前交互来表示特定用户对该集合的整体的亲和力的强度， 对于每个组的每个成员，单个分数表示特定用户基于交互的对成员的亲和力的平均强度。 根据集合的初始分数和集合中每个成员的个人分数计算每个集合的总分。 基于总分，至少一个集合被识别为用于向特定用户呈现的建议​​的社交圈。 传送与建议的社交圈相对应的社交圈数据，以在与特定用户相关联的客户端设备上显示建议的社交圈的表示。