公开(公告)号：US20120158765A1

公开(公告)日：2012-06-21

申请号：US12969218

申请日：2010-12-15

申请人： Girish Kumar ,  Sanaz Ahari ,  Farid Hosseini ,  Mingrui Wu ,  Ahmad Abdulkader ,  Ankur Gupta ,  Giridhar Kumaran ,  Abdigani M. Diriye

发明人： Girish Kumar ,  Sanaz Ahari ,  Farid Hosseini ,  Mingrui Wu ,  Ahmad Abdulkader ,  Ankur Gupta ,  Giridhar Kumaran ,  Abdigani M. Diriye

IPC分类号： G06F17/30

CPC分类号： G06F16/3325

摘要： Computer-readable media, computer systems, and computing methods are provided for classifying search results as either of good quality or of poor quality. Initially, a portion of the search results, such as the highest ranked documents, are selected for evaluation. A level of quality for each of the selected search results is determined using a classification process that includes the following steps: targeting features demonstrated by the selected search results to be evaluated; evaluating the selected features to generate a level-of-quality score for each of the selected search results; comparing the score against a predefined threshold value; and, based on the comparison, assigning each of the selected search results an absolute measurement. The absolute measurement indicates poor quality when the score is less than the threshold value. Upon recognizing that the selected search results are of poor quality, a corrective action that reformulates the issued search query is automatically invoked.

摘要翻译： 提供计算机可读介质，计算机系统和计算方法，用于将搜索结果分类为质量好或品质差。 最初，选择搜索结果的一部分，例如最高排名的文档进行评估。 使用包括以下步骤的分类处理来确定每个所选择的搜索结果的质量水平：针对要被评估的所选择的搜索结果演示的目标特征; 评估所选择的特征以为每个所选择的搜索结果生成质量等级; 将分数与预定义的阈值进行比较; 并且基于比较，将所选择的搜索结果中的每一个分配给绝对测量。 当分数小于阈值时，绝对测量值表示质量差。 在识别出所选择的搜索结果质量差的情况下，自动调用重新发布的搜索查询的纠正措施。

公开(公告)号：US20130246383A1

公开(公告)日：2013-09-19

申请号：US13423243

申请日：2012-03-18

申请人： Ryen William White ,  Georg LW Buscher ,  Susan T. Dumais ,  Jeff Huang ,  Kuansan Wang ,  Abdigani M. Diriye

发明人： Ryen William White ,  Georg LW Buscher ,  Susan T. Dumais ,  Jeff Huang ,  Kuansan Wang ,  Abdigani M. Diriye

IPC分类号： G06F17/30

CPC分类号： G06F16/9535

摘要： The subject disclosure is directed towards using cursor activity with respect to search result pages to enhance search engine operation. Data associated with the cursor activity may be translated into cursor events representing user interactions with a search result page. Based on the cursor events, user behavior indicia may be identified via a user intent prediction model corresponding to various search result page related user actions. The user behavior indicia and/or the user intent prediction model may be used to produce search result pages for current search queries from the user.

摘要翻译： 本发明涉及使用关于搜索结果页面的光标活动来增强搜索引擎的操作。 与游标活动相关联的数据可以被转换成表示用户与搜索结果页面的交互的游标事件。 基于光标事件，可以经由与各种搜索结果页面相关的用户动作对应的用户意图预测模型来识别用户行为标记。 用户行为标记和/或用户意图预测模型可以用于产生来自用户的当前搜索查询的搜索结果页面。