USER INTERFACE AND METHODS FOR RECOMMENDING ITEMS TO USERS
    1.
    发明申请
    USER INTERFACE AND METHODS FOR RECOMMENDING ITEMS TO USERS 有权
    用户界面和建议用户的方法

    公开(公告)号:US20100191582A1

    公开(公告)日:2010-07-29

    申请号:US12753750

    申请日:2010-04-02

    IPC分类号: G06Q30/00 G06Q10/00

    摘要: An improved user interfaces and methods are provided for presenting item recommendations to a user when the user selects an item to add to a shopping cart. In response to the user's selection, a page generation process generates and returns a page that includes a plurality of recommendations sections, each of which displays item recommendations generated using a different respective recommendation or selection algorithm (e.g., recommendations based on shopping cart contents, recommendations based on purchase history, etc.). These recommendation algorithms may be selected based on collected information regarding the user. The page may also include a shopping cart section which displays contents of the shopping cart.

    摘要翻译: 提供了改进的用户界面和方法,用于当用户选择要添加到购物车的项目时向用户呈现项目建议。 响应于用户的选择,页面生成过程生成并返回包括多个建议部分的页面,每个页面都显示使用不同的相应推荐或选择算法生成的项目建议(例如,基于购物车内容的建议,建议 根据购买历史等)。 可以基于收集的关于用户的信息来选择这些推荐算法。 该页面还可以包括显示购物车的内容的购物车部分。

    User interface and methods for recommending items to users
    2.
    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:US08370203B2

    公开(公告)日:2013-02-05

    申请号:US12753750

    申请日:2010-04-02

    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 a shopping cart. In response to the user's selection, a page generation process generates and returns a page that includes a plurality of recommendations sections, each of which displays item recommendations generated using a different respective recommendation or selection algorithm (e.g., recommendations based on shopping cart contents, recommendations based on purchase history, etc.). These recommendation algorithms may be selected based on collected information regarding the user. The page may also include a shopping cart section which displays contents of the shopping cart.

    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,页面生成过程生成并返回包括多个建议部分的页面,每个页面都显示使用不同的相应推荐或选择算法生成的项目建议(例如,基于购物车内容的建议,建议 根据购买历史等)。 可以基于收集的关于用户的信息来选择这些推荐算法。 该页面还可以包括显示购物车的内容的购物车部分。

    USER INTERFACE AND METHODS FOR RECOMMENDING ITEMS TO USERS
    3.
    发明申请
    USER INTERFACE AND METHODS FOR RECOMMENDING ITEMS TO USERS 有权
    用户界面和建议用户的方法

    公开(公告)号:US20100191619A1

    公开(公告)日:2010-07-29

    申请号:US12754513

    申请日:2010-04-05

    IPC分类号: G06Q30/00 G06F3/048

    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。

    User interface and methods for recommending items to users
    4.
    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。

    User interface and methods for recommending items to users
    5.
    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:US07720723B2

    公开(公告)日:2010-05-18

    申请号:US10268048

    申请日:2002-10-07

    IPC分类号: G06Q30/00

    摘要: An improved user interface and method are provided for presenting recommendations to a user when the user adds an item to a shopping cart. In response to the shopping cart add event, a page generation process generates and returns a page that includes a recommendations portion and a condensed view of the shopping cart. The recommendations portion preferably includes multiple recommendation sections, each of which displays a different respective set of recommended items selected according to a different respective recommendation or selection algorithm (e.g., recommendations based on shopping cart contents, recommendations based on purchase history, etc.). The condensed shopping cart view preferably lacks controls for editing the shopping cart, and lacks certain types of product information, making more screen real estate available for the display of the recommendations content. A link to a full shopping cart page allows the user to edit the shopping cart and view expanded product descriptions.

    摘要翻译: 提供了一种改进的用户界面和方法,用于在用户向购物车添加物品时向用户呈现建议。 响应于购物车添加事件,页面生成过程生成并返回包括推荐部分的页面和购物车的聚集视图。 推荐部分优选地包括多个推荐部分,每个推荐部分显示根据不同的相应推荐或选择算法(例如,基于购物车内容的推荐,基于购买历史的推荐等)而选择的不同的各个推荐项目集合。 浓缩的购物车视图优选地缺乏用于编辑购物车的控制,并且缺少某些类型的产品信息,使更多的屏幕空间可用于显示推荐内容。 指向完整购物车页面的链接允许用户编辑购物车并查看扩展的产品描述。

    Item recommendation service
    8.
    发明授权
    Item recommendation service 有权
    项目推荐服务

    公开(公告)号:US08140391B2

    公开(公告)日:2012-03-20

    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。

    Personalized recommendations of items represented within a database
    9.
    发明授权
    Personalized recommendations of items represented within a database 有权
    在数据库中表示的项目的个性化建议

    公开(公告)号:US07113917B2

    公开(公告)日:2006-09-26

    申请号:US09850263

    申请日:2001-05-07

    IPC分类号: G06F17/60

    摘要: A computer-implemented service recommends items to a user based on items previously selected by the user, such as items previously purchased, viewed, or placed in an electronic shopping cart by the user. The items may, for example, be products represented within a database of an online merchant. In one embodiment, the service generates the recommendations using a previously generated table that maps items to respective lists of “similar” items. To generate the table, historical data indicative of users' affinities for particular items is processed periodically to identify correlations between item interests of users (e.g., items A and B are similar because a large portion of those who selected A also selected B). Personal recommendations are generated by accessing the table to identify items similar to those selected by the user. In one embodiment, items are recommended based on the current contents of a user's shopping cart.

    摘要翻译: 计算机实现的服务基于用户先前选择的项目(例如由用户先前购买,查看或放置在电子购物车中的项目)向用户推荐项目。 项目可以例如是在在线商家的数据库内表示的产品。 在一个实施例中,服务使用先前生成的表将物品映射到相似的“相似”项列表来生成推荐。 为了生成表,定期处理指示用户对特定项目的亲和度的历史数据,以识别用户的项目兴趣之间的相关性(例如,项目A和B是相似的,因为选择A的那些人的大部分也选择了B)。 通过访问表格来生成个人建议,以识别与用户选择的项目类似的项目。 在一个实施例中,基于用户购物车的当前内容推荐项目。

    Use of electronic shopping carts to generate personal recommendations
    10.
    发明授权
    Use of electronic shopping carts to generate personal recommendations 有权
    使用电子购物车产生个人建议

    公开(公告)号:US06317722B1

    公开(公告)日:2001-11-13

    申请号:US09156237

    申请日:1998-09-18

    IPC分类号: G06F1760

    摘要: A computer-implemented service recommends products or other items to a user based on a set of items known to be of interest to the user, such as a set of items currently in the user's electronic shopping cart. In one embodiment, the service identifies items that are currently in the user's shopping cart, and uses these items to generate a list of additional items that are predicted to be of interest to the user, wherein an additional item is selected to include in the list based in-part upon whether that item is related to more than one of the items in the user's shopping cart. The item relationships are preferably determined by an off-line process that analyzes user purchase histories to identify correlations between item purchases. The additional items are preferably displayed to the user when the user views the contents of the shopping cart.

    摘要翻译: 计算机实现的服务基于一组已知对用户感兴趣的项目(例如当前在用户的电子购物车中的一组项目)向用户推荐产品或其他项目。 在一个实施例中,服务识别当前在用户购物车中的物品,并且使用这些物品来生成被预测为用户感兴趣的附加物品的列表,其中附加物品被选择为包括在列表中 部分地基于该项目是否与用户购物车中的多个项目相关。 项目关系优选地通过分析用户购买历史以识别物品购买之间的相关性的离线过程来确定。 当用户查看购物车的内容时,优选地向用户显示附加项目。