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    • 1. 发明申请
    • METHOD AND APPARATUS OF PROVIDING SUGGESTED TERMS
    • 提供建议条款的方法和装置
    • WO2012162541A1
    • 2012-11-29
    • PCT/US2012/039426
    • 2012-05-24
    • ALIBABA GROUP HOLDING LIMITEDHUANG, PengLIN, FengZHANG, ShousongZHENG, WeiFENG, JiongZHANG, Qin
    • HUANG, PengLIN, FengZHANG, ShousongZHENG, WeiFENG, JiongZHANG, Qin
    • G06F17/30
    • G06F17/3064
    • The present disclosure discloses a method of providing suggested terms. The method includes: receiving an initial query input from a user, and obtaining corresponding suggested queries based on the initial query; determining at least two categories corresponding to the suggested queries and at least two clickable regions usable for looking up the suggested queries; separately determining a category weight associated with each obtained category in each clickable region for the suggested queries, and a click attribute weight associated with each clickable region; computing a degree of confidence of each category for the suggested queries; and separately determining target categories for the suggested queries based on the degree of confidence of each category for the suggested queries. As such, the user may quickly identify his/her search intention based on the target categories corresponding to the suggested queries, thereby effectively improving the speed of information searching.
    • 本公开公开了一种提供建议术语的方法。 该方法包括:从用户接收初始查询输入,并且基于初始查询获得相应的建议查询; 确定对应于所建议的查询的至少两个类别和至少两个可用于查找所建议查询的可点击区域; 分别确定与建议查询的每个可点击区域中的每个获得的类别相关联的类别权重,以及与每个可点击区域相关联的点击属性权重; 计算建议查询的每个类别的置信度; 并根据建议查询的每个类别的置信程度分别确定建议查询的目标类别。 这样,用户可以基于与建议的查询对应的目标类别来快速识别他/她的搜索意图,从而有效地提高信息搜索的速度。
    • 3. 发明申请
    • ANALYZING MERCHANDISE INFORMATION FOR MESSINESS
    • 分析MESSINESS的商品信息
    • WO2011149527A1
    • 2011-12-01
    • PCT/US2011/000932
    • 2011-05-25
    • ALIBABA GROUP HOLDING LIMITED
    • LIN, FengZHANG, ShousongZHANG, Qin
    • G06Q30/00
    • G06Q30/0281G06Q30/02G06Q30/0203
    • Analyzing merchandise information includes: receiving merchandise information input by a user; analyzing the merchandise information, including at least obtaining values corresponding to one or more characteristic attributes from the merchandise information, wherein the values corresponding to one or more characteristic attributes are used to determine whether the merchandise information is messy; determining a messiness confidence level associated with the merchandise information based at least in part on the obtained values corresponding to one or more characteristic attributes; and determining whether the messiness confidence level associated with the merchandise information exceeds a preset threshold value; in the event that the messiness confidence level exceeds the preset threshold value, sending an indication to stop publication of the merchandise information and in the event that the messiness confidence level does not exceed the preset threshold value, not sending an indication to stop publication of the merchandise information.
    • 分析商品信息包括:接收用户输入的商品信息; 分析商品信息,包括至少从商品信息中获得与一个或多个特征属性对应的值,其中与一个或多个特征属性对应的值被用于确定商品信息是否混乱; 至少部分地基于所获得的与一个或多个特征属性对应的值来确定与所述商品信息相关联的混乱置信水平; 以及确定与所述商品信息相关联的所述混乱置信度是否超过预设阈值; 在混乱置信水平超过预设阈值的情况下,发送停止公布商品信息的指示,以及在凌乱置信水平不超过预设阈值的情况下,不发送停止发布商品信息的指示 商品信息。
    • 4. 发明申请
    • GUIDED SEARCH BASED ON QUERY MODEL
    • 基于查询模型的指导搜索
    • WO2011112252A1
    • 2011-09-15
    • PCT/US2011/000442
    • 2011-03-09
    • ALIBABA GROUP HOLDING LIMITED
    • LIAO, JianLIN, FengZHANG, ShousongZHANG, Qin
    • G06F7/00
    • G06F17/3064
    • Providing guided search includes: receiving a new query; processing the new query to obtain a plurality of models, wherein a model indicates a mapping relationship of a previously stored query and corresponding guidance information; determining a corresponding plurality of similarities of the plurality of models relative to the new query; obtaining guidance information in a database comprising a plurality of mapping relationships of previously stored query and corresponding guidance information, including selecting at least some of the plurality of models based at least in part on the similarities and using the selected models as index to search the database; and sending the obtained guidance information to be displayed to a user.
    • 提供指导性搜索包括:接收新查询; 处理新查询以获得多个模型,其中模型指示先前存储的查询和对应的引导信息的映射关系; 确定所述多个模型相对于所述新查询的相应多个相似度; 在包括先前存储的查询和对应的引导信息的多个映射关系的数据库中获取引导信息,包括至少部分地基于相似性来选择所述多个模型中的至少一些,并且使用所选择的模型作为搜索数据库的索引 ; 并将获得的指示信息发送给用户。