Use of product viewing histories of users to identify related products
    2.
    发明授权
    Use of product viewing histories of users to identify related products 有权
    使用用户查看历史来识别相关产品

    公开(公告)号:US06912505B2

    公开(公告)日:2005-06-28

    申请号:US09821712

    申请日:2001-03-29

    IPC分类号: G06Q30/02 G06Q30/06 G06F17/60

    摘要: Various methods are disclosed for monitoring user browsing activities that indicate user interests in particular products or other items, and for using such information to identify items that are related to one another. In one embodiment, relationships between products within an online catalog are determined by identifying products that are frequently viewed by users within the same browsing session (e.g., products A and B are related because a significant portion of those who viewed A also viewed B). The resulting item relatedness data is preferably stored in a table that maps items to sets of related items. The table may be used to provide personalized product recommendations to users, and/or to supplement product detail pages with lists of related products. In one embodiment, the table is used to provide session-specific product recommendations to users that are based on the products viewed by the user during the current browsing session.

    摘要翻译: 公开了各种用于监视用户浏览活动的方法,这些用户浏览活动指示用户对特定产品或其他项目的兴趣,并且使用这些信息来识别彼此相关的项目。 在一个实施例中,在线目录中的产品之间的关系通过识别在同一浏览会话中由用户经常观看的商品来确定(例如,产品A和B是相关的,因为观看A也观看B的那些人的很大一部分)。 所得到的项目相关性数据优选地存储在将项目映射到相关项目集合的表格中。 该表可以用于向用户提供个性化的产品建议,和/或用相关产品列表来补充产品详细页面。 在一个实施例中,该表用于向用户提供基于在当前浏览会话期间由用户观看的产品的会话特定产品建议。

    Content personalization based on actions performed during a current browsing session
    3.
    发明授权
    Content personalization based on actions performed during a current browsing session 有权
    基于在当前浏览会话期间执行的动作的内容个性化

    公开(公告)号:US06853982B2

    公开(公告)日:2005-02-08

    申请号:US09821826

    申请日:2001-03-29

    IPC分类号: G06Q30/02 G06Q30/06 G06F17/60

    摘要: Various methods are disclosed for monitoring user browsing activities, and for using such information to provide session-specific item recommendations to users. In one embodiment, a monitoring component of a merchant's Web site maintains a record of products viewed by each user during a current browsing session—preferably based on visits to product detail pages. A recommendations component uses the resulting history of viewed products to identify additional products to recommend, preferably using a pre-existing table that maps products to related products. In one embodiment, this table is generated by periodically analyzing user browsing histories to identify correlations between purchases, viewing events, and/or other actions performed with respect to particular products. The recommended items may be displayed together with an option to individually deselect the recently viewed items on which the recommendations are based. Embodiments are also disclosed that use recent browse node visits, and recent searches, to generate the recommendations.

    摘要翻译: 公开了各种用于监视用户浏览活动的方法,并且使用这些信息来向用户提供特定于会话的项目建议。 在一个实施例中,商家网站的监视组件在当前浏览会话期间维护由每个用户观看的产品的记录,优选地基于对产品详细信息页的访问。 建议组件使用所查看产品的结果历史来识别要推荐的其他产品,优选使用将产品映射到相关产品的预先存在的表。 在一个实施例中,通过周期性地分析用户浏览历史以识别购买,观看事件和/或针对特定产品执行的其他动作之间的相关性来生成该表。 推荐的项目可以与选项一起显示,以单独取消选择最近查看的推荐项目。 还公开了使用最近的浏览节点访问和最近的搜索来生成建议的实施例。

    DISCOVERY OF BEHAVIOR-BASED ITEM RELATIONSHIPS
    4.
    发明申请
    DISCOVERY OF BEHAVIOR-BASED ITEM RELATIONSHIPS 有权
    发现基于行为的项目关系

    公开(公告)号:US20110238525A1

    公开(公告)日:2011-09-29

    申请号:US13154334

    申请日:2011-06-06

    IPC分类号: G06Q30/00

    摘要: Various processes are disclosed for discovering item relationships between particular items, such as products represented in an electronic catalog, based on monitored user behaviors (e.g., item viewing activities, item purchases, shopping cart activities, etc.). The discovered item relationships may, for example, be used to generate personalized item recommendations for users, and/or to supplement item detail pages of an electronic catalog with lists of related items. Also disclosed are processes for generating personalized item recommendations based on users' search activities and browse node visits.

    摘要翻译: 公开了用于基于受监视的用户行为(例如,项目查看活动,项目购买,购物车活动等)来发现诸如电子目录中表示的产品的特定项目之间的项目关系的各种过程。 所发现的项目关系可以例如用于为用户生成个性化项目建议,和/或补充具有相关项目列表的电子目录的项目详细页面。 还公开了基于用户的搜索活动和浏览节点访问来生成个性化项目建议的过程。

    RECOMMENDATIONS BASED ON CROSS-SITE BROWSING ACTIVITIES OF USERS
    5.
    发明申请
    RECOMMENDATIONS BASED ON CROSS-SITE BROWSING ACTIVITIES OF USERS 审中-公开
    基于用户的跨站点浏览活动的建议

    公开(公告)号:US20080250026A1

    公开(公告)日:2008-10-09

    申请号:US12041498

    申请日:2008-03-03

    IPC分类号: G06F17/30

    摘要: A system provides recommendations of web sites, web pages, and/or products to a user based on web pages viewed during a current browsing session. In one embodiment, a browser plug-in or other client program monitors and reports information regarding browsing activities of users across multiple web sites. The resulting cross-site browse histories of the users are analyzed on an aggregated basis to detect behavior-based associations between particular sites, pages and/or products. The detected associations are in turn used to provide personalized recommendations to users. The associations and recommendations may also be based on an automated analysis of the content of the web pages represented in the users' browse histories.

    摘要翻译: 系统根据当前浏览会话期间浏览的网页向用户提供网站,网页和/或产品的建议。 在一个实施例中,浏览器插件或其他客户端程序监视和报告关于跨多个网站的用户的浏览活动的信息。 在聚合的基础上分析用户的跨站点浏览历史,以检测特定站点,页面和/或产品之间的基于行为的关联。 检测到的关联又用于向用户提供个性化建议。 协会和建议也可以基于在用户浏览历史中表示的网页的内容的自动分析。

    Discovery of behavior-based item relationships
    6.
    发明授权
    Discovery of behavior-based item relationships 有权
    发现基于行为的项目关系

    公开(公告)号:US08433621B2

    公开(公告)日:2013-04-30

    申请号:US13526393

    申请日:2012-06-18

    IPC分类号: G06Q30/00 G06Q10/00

    摘要: Various processes are disclosed for discovering item relationships between particular items, such as products represented in an electronic catalog, based on monitored user behaviors (e.g., item viewing activities, item purchases, shopping cart activities, etc.). The discovered item relationships may, for example, be used to generate personalized item recommendations for users, and/or to supplement item detail pages of an electronic catalog with lists of related items. Also disclosed are processes for generating personalized item recommendations based on users' search activities and browse node visits.

    摘要翻译: 公开了用于基于受监视的用户行为(例如,项目查看活动,项目购买,购物车活动等)来发现诸如电子目录中表示的产品的特定项目之间的项目关系的各种过程。 所发现的项目关系可以例如用于为用户生成个性化项目建议,和/或补充具有相关项目列表的电子目录的项目详细页面。 还公开了基于用户的搜索活动和浏览节点访问来生成个性化项目建议的过程。

    User interface and methods for recommending items to users
    7.
    发明授权
    User interface and methods for recommending items to users 有权
    用户界面和向用户推荐项目的方法

    公开(公告)号:US08326690B2

    公开(公告)日:2012-12-04

    申请号:US12754513

    申请日:2010-04-05

    IPC分类号: G06Q30/00

    摘要: Improved user interfaces and methods are provided for presenting item recommendations to a user when the user selects an item to add to an electronic shopping cart. In response to the user's selection, a page generation process generates and returns a page that includes a condensed shopping cart portion and a recommendations portion. The condensed shopping cart portion displays the contents of the shopping cart, but omits some of the item information and/or controls provided on a shopping cart page, thereby preserving more screen real estate for the display of item recommendations. The condensed shopping cart portion also includes a link to the shopping cart page.

    摘要翻译: 提供了改进的用户界面和方法,用于在用户选择要添加到电子购物车的项目时向用户呈现项目建议。 响应于用户的选择,页面生成处理生成并返回包括精简购物车部分和推荐部分的页面。 浓缩的购物车部分显示购物车的内容,但省略了在购物车页面上提供的一些物品信息和/或控件,从而保留更多的屏幕空间用于显示物品建议。 浓缩的购物车部分还包括到购物车页面的链接。

    ITEM RECOMMENDATION SERVICE
    8.
    发明申请
    ITEM RECOMMENDATION SERVICE 有权
    项目建议服务

    公开(公告)号:US20110282758A1

    公开(公告)日:2011-11-17

    申请号:US13196066

    申请日:2011-08-02

    IPC分类号: G06Q30/00

    摘要: A computer-implemented recommendation service uses item-to-item relationship mappings to select items to recommend to the user. The item-to-item relationship mappings may reflect user-behavior-based (e.g., purchase-based) item relationships, content-based item relationships, or a combination thereof. In one embodiment, personalized recommendations are generated for a user by a process that comprises retrieving from the mapping, for each of a plurality of items of interest to the user, a respective related items list; weighting the related items lists based on information regarding the user's affinity for the corresponding items of interest; combining the weighted related items lists to form a pool of scored items, and selecting items from the pool to recommend to the user.

    摘要翻译: 计算机实现的推荐服务使用项目到项目关系映射来选择要向用户推荐的项目。 项目到项目关系映射可以反映基于用户行为的(例如,基于购买的)项目关系,基于内容的项目关系或其组合。 在一个实施例中,通过一个过程为用户生成个性化建议,该过程包括从用户对感兴趣的多个项目中的每一个检索相应的相关项目列表; 基于关于用户对相应兴趣项目的亲和度的信息对相关项目列表进行加权; 组合加权相关项目列表以形成计分项目池,以及从池中选择项目以向用户推荐。

    Content personalization based on actions performed during browsing sessions
    9.
    发明授权
    Content personalization based on actions performed during browsing sessions 有权
    基于在浏览会话期间执行的操作的内容个性化

    公开(公告)号:US07970664B2

    公开(公告)日:2011-06-28

    申请号:US11009732

    申请日:2004-12-10

    IPC分类号: G06Q30/00

    摘要: Various methods are disclosed for monitoring user browsing activities, and for using such information to provide item recommendations to users. In one embodiment, a monitoring component of a merchant's Web site maintains a record of products viewed by each user during a current browsing session—preferably based on visits to product detail pages. A recommendations component uses the resulting history of viewed products to identify additional products to recommend, preferably using a pre-existing table that maps products to related products. In one embodiment, this table is generated by periodically analyzing user browsing histories to identify correlations between purchases, viewing events, and/or other actions performed with respect to particular products. The recommended items may be displayed together with an option to individually deselect the recently viewed items on which the recommendations are based. Embodiments are also disclosed that use recent browse node visits, and recent searches, to generate the recommendations.

    摘要翻译: 公开了各种用于监视用户浏览活动的方法,以及使用这些信息向用户提供项目建议。 在一个实施例中,商家网站的监视组件在当前浏览会话期间维护由每个用户观看的产品的记录,优选地基于对产品详细信息页的访问。 建议组件使用所查看产品的结果历史来识别要推荐的其他产品,优选使用将产品映射到相关产品的预先存在的表。 在一个实施例中,通过周期性地分析用户浏览历史以识别购买,观看事件和/或针对特定产品执行的其他动作之间的相关性来生成该表。 推荐的项目可以与选项一起显示,以单独取消选择最近查看的推荐项目。 还公开了使用最近的浏览节点访问和最近的搜索来生成建议的实施例。