公开(公告)号：US09177057B2

公开(公告)日：2015-11-03

申请号：US12796127

申请日：2010-06-08

申请人： Viswanath Vadlamani ,  Munirathnam Srikanth ,  Abhinai Srivastava ,  Tarek Najm ,  Arungunram Chandrasekaran Surendran ,  John Midgley ,  Mahbubul Alam Ali

发明人： Viswanath Vadlamani ,  Munirathnam Srikanth ,  Abhinai Srivastava ,  Tarek Najm ,  Arungunram Chandrasekaran Surendran ,  John Midgley ,  Mahbubul Alam Ali

IPC分类号： G06F17/30

CPC分类号： G06F17/30864

摘要： Search result re-ranking is provided by employing a concept graph from a metabase. When a search query is received, a query context of the search query is analyzed to identify dominant concepts for the search query. The dominant concepts are expanded by identifying the dominant concepts within a concept graph and identifying additional concepts having a strong relationship with the dominant concepts within the concept graph. A set of search results for the search query is analyzed to determine strength of relationship of each search result to the expanded concepts. The search results are re-ranked based on the strength of relationship of each search result to the expanded concepts and the strength of relationship of each expanded concept to the dominant concepts.

摘要翻译： 通过使用元数据库的概念图提供搜索结果重新排序。 当接收到搜索查询时，分析搜索查询的查询上下文以识别用于搜索查询的主要概念。 通过识别概念图中的主要概念并确定与概念图中的主要概念具有强关系的其他概念来扩展主要概念。 分析搜索查询的一组搜索结果，以确定每个搜索结果与扩展概念的关系强度。 搜索结果根据每个搜索结果与扩展概念的关系强度和每个扩展概念与主要概念的关系强度进行重新排序。

公开(公告)号：US07370002B2

公开(公告)日：2008-05-06

申请号：US10163056

申请日：2002-06-05

申请人： David E. Heckerman ,  Martin Luo ,  Guy Shani ,  Mahbubul Alam Ali

发明人： David E. Heckerman ,  Martin Luo ,  Guy Shani ,  Mahbubul Alam Ali

IPC分类号： G06F17/60

CPC分类号： G06Q30/02 ,  G06Q30/0201 ,  G06Q30/0204 ,  G06Q30/0242 ,  G06Q30/0254 ,  G06Q30/0269 ,  G06Q30/0277

摘要： Advertisement response probabilities are utilized to alter advertisement scores. A plurality of possible advertisements is accessed from, for example, an advertisement database or advertisement pipeline. A response probability for each advertisement is determined. A response probability may be a probability that a user will “click,” or otherwise select an advertisement. Advertisements may be associated with probabilistic prediction models that take advertisement recipient attribute values as inputs and provide a probability distribution as output. A score associated with each of the possible advertisements is altered based on the response probability for each of the advertisements. Statistical prediction is used to determine how scores are to be altered. Advertisements with response probabilities less than a mean probability may have associated scores decreased. Conversely, advertisements with response probabilities greater than a mean probability may have associated scores increased.

摘要翻译： 广告响应概率用于改变广告评分。 可以从例如广告数据库或广告流水线访问多个可能的广告。 确定每个广告的响应概率。 响应概率可能是用户“点击”或以其他方式选择广告的概率。 广告可能与将广告收件人属性值作为输入并提供概率分布作为输出的概率预测模型相关联。 基于每个广告的响应概率来改变与每个可能的广告相关联的评分。 统计预测用于确定评分如何改变。 响应概率小于平均概率的广告可能会降低相关分数。 相反，具有大于平均概率的响应概率的广告可以具有相关联的分数增加。