公开(公告)号：US20150066915A1

公开(公告)日：2015-03-05

申请号：US13712046

申请日：2012-12-12

Applicant: Google Inc.

Inventor： Scott Golder ,  Ed Huai-Hsin Chi ,  David Andrew Huffaker ,  Gueorgi Kossinets

IPC: G06F17/30

CPC classification number: G06F16/9535

Abstract: Systems and methods for determining a group recommendation of an object, such as a restaurant, movie, or other object, from a plurality of candidate objects based on user comparisons of characteristic traits of the candidate objects are provided. In particular, keywords associated with characteristic traits are identified. The keywords are then presented to members of the group as a series of selection queries. The selection queries require a user to select or rank the keywords based on user preferences. The responses to the selection queries are used to generate a ranking score for each of the plurality of candidate objects and to select one or more of the candidate objects to recommend to the group.

Abstract translation: 提供了用于基于候选对象的特征特征的用户比较来确定来自多个候选对象的对象（例如餐馆，电影或其他对象）的群组推荐的系统和方法。 特别地，识别与特征特征相关联的关键词。 然后，将关键字作为一系列选择查询提交给组的成员。 选择查询要求用户根据用户偏好来选择或排列关键字。 对选择查询的响应用于生成多个候选对象中的每一个候选对象的排名分数，并选择候选对象中的一个或多个以推荐给该组。