公开(公告)号：US20060265391A1

公开(公告)日：2006-11-23

申请号：US11238643

申请日：2005-09-29

Applicant: Nicholas Posner ,  Ramana Idury ,  Richard Henderson ,  Randall Shoup ,  Vijay Kumar ,  Louis Monier ,  Anselm Baird-Smith ,  Thomas Nelson ,  Raghav Gupta ,  Raffi Tutundjian ,  Preston Smalley ,  Alvaro Bolivar

Inventor： Nicholas Posner ,  Ramana Idury ,  Richard Henderson ,  Randall Shoup ,  Vijay Kumar ,  Louis Monier ,  Anselm Baird-Smith ,  Thomas Nelson ,  Raghav Gupta ,  Raffi Tutundjian ,  Preston Smalley ,  Alvaro Bolivar

IPC: G06F17/30

CPC classification number: G06F17/30864 ,  G06F17/3064 ,  G06F17/30672 ,  G06F17/30973

Abstract: A method and system to process a data search request. The system includes a query controller module to receive the data search request that includes constraints; a reduced constraint builder module to formulate a plurality of search definitions that are formulated to exclude at least one constraint; and a search engine to perform searches of a data source to generate search results and to utilize the search results to calculate counts of data items that respectively correspond to the search definitions. The query controller module communicates the counts of data items and the corresponding search definitions to a client machine. Each of the search definitions is formulated to include a constraint set.

Abstract translation: 一种处理数据搜索请求的方法和系统。 该系统包括用于接收包括约束的数据搜索请求的查询控制器模块; 减少的约束构建器模块，用于制定被配制为排除至少一个约束的多个搜索定义; 以及搜索引擎来执行数据源的搜索以生成搜索结果并利用搜索结果来计算分别对应于搜索定义的数据项的计数。 查询控制器模块将数据项的计数和相应的搜索定义传达给客户机。 每个搜索定义被制定为包括约束集合。

公开(公告)号：US20050125240A9

公开(公告)日：2005-06-09

申请号：US10666681

申请日：2003-09-18

Applicant: Leonard Speiser ,  Nicholas Posner ,  Jannie Lai ,  Louis Monier

Inventor： Leonard Speiser ,  Nicholas Posner ,  Jannie Lai ,  Louis Monier

IPC: G06F17/30 ,  G06Q30/00 ,  G06F17/60

CPC classification number: G06Q30/02 ,  G06F17/30864 ,  G06Q30/0282 ,  G06Q30/0601 ,  G06Q30/0625 ,  G06Q30/0631

Abstract: A method and system of providing listing recommendations to users of a network-based commerce system including a plurality of listings arranged in a plurality of divisions is described. The method includes identifying a division of the plurality of divisions based on user interaction with the network-based commerce system, and identifying at least one frequently used search term associated with the division. A link is provided to the user to listings associated with the frequently used search term. The search terms may be ranked by retrieving frequently used search terms from a first memory location and determining a number of listings in each division associated with each frequently used search term. Each frequently used search term may then be ranked based on the number of listings in each division.

Abstract translation: 描述了一种为基于网络的商务系统的用户提供列出建议的方法和系统，该方法和系统包括布置在多个部门中的多个列表。 该方法包括基于与基于网络的商务系统的用户交互来识别多个部门的划分，以及识别与该划分相关联的至少一个经常使用的搜索词语。 向用户提供与经常使用的搜索项相关联的列表的链接。 可以通过从第一存储器位置检索频繁使用的搜索项来确定搜索项，并且确定与每个经常使用的搜索项相关联的每个划分中的列表的数量。 然后可以基于每个部门中的列表的数量对每个经常使用的搜索项进行排名。

公开(公告)号：US20050144086A1

公开(公告)日：2005-06-30

申请号：US10877806

申请日：2004-06-24

Applicant: Leonard Speiser ,  Nicholas Posner ,  Jannie Lai ,  Louis Monier

Inventor： Leonard Speiser ,  Nicholas Posner ,  Jannie Lai ,  Louis Monier

IPC: G06F17/30 ,  G06Q30/00 ,  G06F17/60

CPC classification number: G06Q30/02 ,  G06F16/951 ,  G06Q30/0282 ,  G06Q30/0601 ,  G06Q30/0625 ,  G06Q30/0631

Abstract: A method and system of providing listing recommendations to users of a network-based commerce system including a plurality of listings arranged in a plurality of divisions is described. The method includes identifying a division of the plurality of divisions based on user interaction with the network-based commerce system, and identifying at least one frequently used search term associated with the division. A link is provided to the user to listings associated with the frequently used search term. The search terms may be ranked by retrieving frequently used search terms from a first memory location and determining a number of listings in each division associated with each frequently used search term. Each frequently used search term may then be ranked based on the number of listings in each division.