SEARCH ENGINE OPTIMIZATION BY SELECTIVE INDEXING

    公开(公告)号:US20210073192A1

    公开(公告)日:2021-03-11

    申请号:US16950636

    申请日:2020-11-17

    Applicant: eBay Inc.

    Abstract: Example embodiments involve a system and methods for identifying valuable view item pages for search engine optimization. According to certain embodiments, the system performs operations that include predicting the probability of future traffic for a given product based on a number of product level factors as input variables, and identifying a selection of view item pages corresponding to the products with the probability of the highest future traffic in order to maximize the driving natural search traffic to a linked site of the corresponding view item page.

    Search engine optimization by selective indexing

    公开(公告)号:US12216632B2

    公开(公告)日:2025-02-04

    申请号:US18516184

    申请日:2023-11-21

    Applicant: eBay Inc.

    Abstract: Example embodiments involve a system and methods for identifying valuable view item pages for search engine optimization. The system and methods provide an improvement over existing systems, which do nothing to identify or select valuable view item pages for use in driving traffic from display sites. The system and methods described herein improve the earlier system by predicting the probability of future traffic for a given product based on a number of product level factors as input variables, and identifying a selection of view item pages corresponding to the products with the probability of the highest future traffic in order to maximize the driving natural search traffic to a linked site of the corresponding view item page.

    SEARCH ENGINE OPTIMIZATION BY SELECTIVE INDEXING
    5.
    发明申请
    SEARCH ENGINE OPTIMIZATION BY SELECTIVE INDEXING 审中-公开
    通过选择性引导搜索引擎优化

    公开(公告)号:US20170004159A1

    公开(公告)日:2017-01-05

    申请号:US15131139

    申请日:2016-04-18

    Applicant: eBay Inc.

    Abstract: Example embodiments involve a system and methods for identifying valuable view item pages for search engine optimization. The system and methods provide an improvement over existing systems, which do nothing to identify or select valuable view item pages for use in driving traffic from display sites. The system and methods described herein improve the earlier system by predicting the probability of future traffic for a given product based on a number of product level factors as input variables, and identifying a selection of view item pages corresponding to the products with the probability of the highest future traffic in order to maximize the driving natural search traffic to a linked site of the corresponding view item page.

    Abstract translation: 示例性实施例涉及用于识别用于搜索引擎优化的有价值的视图项目页面的系统和方法。 该系统和方法提供了对现有系统的改进,该系统对于识别或选择用于驱动来自显示站点的流量的有价值的查看项目页没有任何作用。 本文描述的系统和方法通过基于多个产品级别因素作为输入变量来预测给定产品的未来业务的概率来改进早期系统,并且识别与产品相对应的视图项目页面的选择,其概率为 最高的未来流量,以最大限度地将驾驶自然搜索流量移动到相应视图项目页面的链接站点。

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