公开(公告)号：US20160217521A1

公开(公告)日：2016-07-28

申请号：US15086921

申请日：2016-03-31

Applicant: eBay Inc.

Inventor： Mohammad Al Hasan ,  Nishith Parikh ,  Gyanit Singh ,  Neelakantan Sundaresan ,  Brian Scott Johnson ,  Udayan Khurana

IPC: G06Q30/06 ,  G06F17/30

CPC classification number: G06Q30/0625 ,  G06F17/30386 ,  G06F17/3053 ,  G06F17/3064 ,  G06F17/30646 ,  G06F17/30861 ,  G06Q30/02

Abstract: Query suggestions are provided using a query log including a number of user sessions that comprise training data. The training data includes a sequence of a plurality of sets of queries, some of the sets of queries including query transitions followed by a purchase related event. From a cleaned and normalized query log stationary scores and transition scores of at least some of the plurality of sets are generated. A set of query suggestions is built and similarity scores are computed for at least some of the set of query suggestions to determine whether individual ones of the at least some of the set of query suggestions meet a predetermined assurance level. Those that meet the assurance level are included as elements of the set of query suggestions. The set of query suggestions is mixed and ranked according to a user behavior that is sought to be influenced.

公开(公告)号：US09323811B2

公开(公告)日：2016-04-26

申请号：US14606971

申请日：2015-01-27

Applicant: eBay Inc.

Inventor： Mohammad Al Hasan ,  Nishith Parikh ,  Gyanit Singh ,  Neelakantan Sundaresan ,  Brian Scott Johnson ,  Udayan Khurana

IPC: G06F17/30 ,  G06Q30/02

CPC classification number: G06Q30/0625 ,  G06F17/30386 ,  G06F17/3053 ,  G06F17/3064 ,  G06F17/30646 ,  G06F17/30861 ,  G06Q30/02

Abstract: Query suggestions are provided using a query log including a number of user sessions that comprise training data. The training data includes a sequence of a plurality of sets of queries, some of the sets of queries including query transitions followed by a purchase related event. From a cleaned and normalized query log stationary scores and transition scores of at least some of the plurality of sets are generated. A set of query suggestions is built and similarity scores are computed for at least some of the set of query suggestions to determine whether individual ones of the at least some of the set of query suggestions meet a predetermined assurance level. Those that meet the assurance level are included as elements of the set of query suggestions. The set of query suggestions is mixed and ranked according to a user behavior that is sought to be influenced.

Abstract translation: 使用查询日志提供查询建议，包括包含训练数据的多个用户会话。 所述训练数据包括多组查询的序列，所述查询集合中的一些包括跟随购买相关事件的查询转换。 从清洁和归一化的查询日志中，生成多个集合中的至少一些的静态分数和转换分数。 构建一组查询建议，并且针对所述一组查询建议中的至少一些计算相似性分数，以确定所述一组查询建议中的至少一些是否满足预定保证级别。 满足保证级别的那些将作为查询建议集的元素。 一组查询建议根据受到影响的用户行为进行混合和排序。

公开(公告)号：US20140188556A1

公开(公告)日：2014-07-03

申请号：US14199433

申请日：2014-03-06

Applicant: EBAY INC.

Inventor： Quang Anh Duong ,  Neelakantan Sundaresan ,  Nishith Parikh ,  Zeqian Shen

IPC: G06Q30/02

CPC classification number: G06Q30/0201 ,  G06Q10/063 ,  G06Q30/02

Abstract: A method and system analyze marketplace listing strategies. In some embodiments, the method accesses data associated with multiple marketplace listings. Each marketplace listing is associated with a product category. A state-action model, associated with the product category, is created based on the data associated with the multiple marketplace listings. The state-action model is then analyzed to identify a marketplace listing strategy associated with the product category.

Abstract translation: 一种方法和系统分析市场上市策略。 在一些实施例中，该方法访问与多个市场列表相关联的数据。 每个市场列表都与产品类别相关联。 与产品类别相关联的状态动作模型基于与多个市场列表相关联的数据而创建。 然后分析状态模型以识别与产品类别相关联的市场列表策略。

公开(公告)号：US20160246876A1

公开(公告)日：2016-08-25

申请号：US15141499

申请日：2016-04-28

Applicant: eBay Inc.

Inventor： Nishith Parikh ,  Neelakantan Sundaresan

IPC: G06F17/30

CPC classification number: G06F17/30675 ,  G06F17/30693 ,  G06F17/30979 ,  G06Q30/06 ,  G06Q30/0601

Abstract: Various example embodiments are provided for inferring relationships between a first query comprising a plurality of first terms and a second query comprising a plurality of second terms. In an example, queries are related based on the identification of common terms between the queries. One or more dissimilar terms are identified between the plurality of first terms and the plurality of second terms. A first number of dissimilar terms included in the first query and a second number of dissimilar terms included in the second query are identified. A weight is assigned to the relationship between the first query and the second query based on a difference between the first number and the second number.

Abstract translation: 提供了各种示例实施例，用于推断包括多个第一项的第一查询与包括多个第二项的第二查询之间的关系。 在一个示例中，查询是基于查询之间的常见术语的标识相关的。 在多个第一项和多个第二项之间标识一个或多个不同的术语。 识别包括在第一查询中的第一数目不同的术语和包括在第二查询中的第二数目不相似的术语。 基于第一号码和第二号码之间的差异，将权重分配给第一查询和第二查询之间的关系。

公开(公告)号：US20160012109A1

公开(公告)日：2016-01-14

申请号：US14865279

申请日：2015-09-25

Applicant: eBay Inc.

Inventor： Neelakantan Sundaresan ,  Nishith Parikh

IPC: G06F17/30

CPC classification number: G06F17/30448 ,  G06F17/30321 ,  G06F17/30672 ,  G06F17/30864 ,  G06Q30/0625

Abstract: Systems and a method for expanding a query are described. The method calculates a diversity index for a plurality of query terms that are included in a plurality of other queries associated with the query. The diversity index is a measure of diversity among the plurality of query terms and relates to differences among the plurality of query terms. The method further compares the diversity index to a threshold value. Finally, the method expands the query with one or more of the plurality of query terms based on the comparison.

Abstract translation: 描述了系统和扩展查询的方法。 该方法计算与查询相关联的多个其他查询中包括的多个查询项的分集索引。 多样性指数是多个查询项中的分集度量度，并且与多个查询项之间的差异相关。 该方法进一步将多样性指数与阈值进行比较。 最后，该方法基于比较扩展具有多个查询项中的一个或多个的查询。

公开(公告)号：US20140164427A1

公开(公告)日：2014-06-12

申请号：US14178685

申请日：2014-02-12

Applicant: eBay Inc.

Inventor： Nishith Parikh ,  Neelakantan Sundaresan

IPC: G06F17/30

CPC classification number: G06F17/30675 ,  G06F17/30693 ,  G06F17/30979 ,  G06Q30/06 ,  G06Q30/0601

Abstract: Various example embodiments are provided for inferring relationships between queries. In an example, queries are related based on the identification of common terms between the queries. Another example is to relate queries based on the identification that the queries are associated with a single search session. Yet another example is to infer relationships based on the identification of relationships between item attributes retrieved from the submission of the queries.

Abstract translation: 提供了用于推断查询之间的关系的各种示例实施例。 在一个示例中，查询是基于查询之间的常见术语的标识相关的。 另一个示例是基于查询与单个搜索会话相关联的标识来关联查询。 另一个例子是基于从提交查询中检索的项目属性之间的关系的识别来推断关系。