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1. 发明授权

US08949252B2 Product category optimization for image similarity searching of image-based listings in a network-based publication system 有权
标题翻译：基于网络的出版系统中基于图像的列表的图像相似性搜索的产品类别优化
公开(公告)号：US08949252B2
公开(公告)日：2015-02-03
申请号：US13073936
申请日：2011-03-28
申请人： Naren Chittar , Sandip Gaikwad , Sanjay Pundlkrao Ghatare , Ryan McDonald , John Roper
发明人： Naren Chittar , Sandip Gaikwad , Sanjay Pundlkrao Ghatare , Ryan McDonald , John Roper
IPC分类号： G06F17/30 , G06Q30/00
CPC分类号： G06F17/30259 , G06F17/3025 , G06Q30/00
摘要： A weighted combination of attributes including but not limited to color, shape, pattern, brand, style, size, and material may be used to rank items when searching for similar items of a given category on an ecommerce system website. The weights on each attribute may be optimized by using feedback from users, the feedback indicating the importance of each attribute to a purchaser when searching for similar items of various categories. Alternatively, click-through patterns from the ecommerce system website can be mined and used to optimize the importance of each attribute to users by item category. The optimum attribute weights for that items category are used to rank the results in a search for similar items in that category.
摘要翻译：可以使用包括但不限于颜色，形状，图案，品牌，样式，大小和材料的属性的加权组合来在电子商务系统网站上搜索给定类别的类似项目时对项目进行排名。可以通过使用用户的反馈来优化每个属性的权重，反馈指示每个属性在搜索各种类别的类似项目时对购买者的重要性。或者，可以挖掘电子商务系统网站的点击式模式，并用于按项目类别优化每个属性对用户的重要性。该项目类别的最佳属性权重用于对搜索类别中类似项目的结果进行排序。

2. 发明申请

US20120310954A1 METHOD AND SYSTEM TO NARROW GENERIC SEARCHES USING RELATED SEARCH TERMS 审中-公开
标题翻译：使用相关搜索条件缩小一般搜索的方法和系统
公开(公告)号：US20120310954A1
公开(公告)日：2012-12-06
申请号：US13153071
申请日：2011-06-03
申请人： Sandip Gaikwad
发明人： Sandip Gaikwad
IPC分类号： G06F17/30
CPC分类号： G06F16/3323
摘要： A method and system for narrowing down generic searches using related search terms is provided. An example system comprises a communications module, a listings retrieval module, a supplemental search term generator, and a filter generator. The communications module may be configured to receive a user-supplied search term. The listings retrieval module may be configured to retrieve, based on the user-supplied search term, one or more listings. The supplemental search term generator may be configured to identify, based on frequency of appearance of different words in the titles of the retrieved listings, a supplemental search term. The filter generator may be configured to generate, based on the supplemental search term, a list of filters to be presented to a user for selection.
摘要翻译：提供了使用相关搜索术语缩小通用搜索的方法和系统。示例系统包括通信模块，列表检索模块，补充搜索项生成器和过滤器生成器。通信模块可以被配置为接收用户提供的搜索项。列表检索模块可以被配置为基于用户提供的搜索项来检索一个或多个列表。补充搜索项生成器可以被配置为基于检索到的列表的标题中的不同单词的出现频率来识别补充搜索项。过滤器发生器可以被配置为基于补充搜索项产生要呈现给用户进行选择的过滤器的列表。

3. 发明申请

US20110314031A1 PRODUCT CATEGORY OPTIMIZATION FOR IMAGE SIMILARITY SEARCHING OF IMAGE-BASED LISTINGS IN A NETWORK-BASED PUBLICATION SYSTEM 有权
标题翻译：基于网络的出版系统中基于图像的图像相似搜索的产品类别优化
公开(公告)号：US20110314031A1
公开(公告)日：2011-12-22
申请号：US13073936
申请日：2011-03-28
申请人： Naren Chittar , Sandip Gaikwad , Sanjay Pundlkrao Ghatare , Ryan McDonald , John Roper
发明人： Naren Chittar , Sandip Gaikwad , Sanjay Pundlkrao Ghatare , Ryan McDonald , John Roper
IPC分类号： G06F17/30
CPC分类号： G06F17/30259 , G06F17/3025 , G06Q30/00
摘要： A weighted combination of attributes including but not limited to color, shape, pattern, brand, style, size, and material may be used to rank items when searching for similar items of a given category on an ecommerce system website. The weights on each attribute may be optimized by using feedback from users, the feedback indicating the importance of each attribute to a purchaser when searching for similar items of various categories. Alternatively, click-through patterns from the ecommerce system website can be mined and used to optimize the importance of each attribute to users by item category. The optimum attribute weights for that items category are used to rank the results in a search for similar items in that category.
摘要翻译：可以使用包括但不限于颜色，形状，图案，品牌，样式，大小和材料的属性的加权组合来在电子商务系统网站上搜索给定类别的类似项目时对项目进行排名。可以通过使用用户的反馈来优化每个属性的权重，反馈指示每个属性在搜索各种类别的类似项目时对购买者的重要性。或者，可以挖掘电子商务系统网站的点击式模式，并用于按项目类别优化每个属性对用户的重要性。该项目类别的最佳属性权重用于对搜索类别中类似项目的结果进行排序。

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