Search system for providing web crawling query prioritization based on classification operation performance

    公开(公告)号:US10949475B2

    公开(公告)日:2021-03-16

    申请号:US15979170

    申请日:2018-05-14

    Applicant: eBay Inc.

    Abstract: Various methods and systems for processing web crawling queries using a web crawling prioritization model based on classification operation performance. A classification operation for organizing products in a product listing platform is accessed. A web crawling engine is accessed for the classification operation. The web crawling engine operates based on a web crawling query prioritization model that supports determining web crawling priority scores that indicate a predicted performance improvement for classification operations executed with known data and web crawled data to be retrieved from executing a web crawling query operation. Using the web crawling prioritization model, a web crawling priority score is determined for a web crawling query for the corresponding classification operation. The classification operation is associated with a product in a product listing platform and known data for the product. Based on the web crawling priority score, the web crawling query is executed to identify web crawled data.

    GENERATING PRODUCT DESCRIPTIONS FROM USER REVIEWS

    公开(公告)号:US20200020000A1

    公开(公告)日:2020-01-16

    申请号:US16036110

    申请日:2018-07-16

    Applicant: eBay Inc.

    Abstract: Systems and methods of improving a user interface by generating product descriptions from user reviews are disclosed. In some example embodiments, a computer system identifies a subset of product review contents from amongst a plurality of product review contents as being suitable to be used in a product description for a product using a classifier, selects at least a portion of the identified subset of product review contents for inclusion in the product description for the product based on their corresponding confidence values, and causes the at least a portion of the identified subset of product review contents to be displayed on a client device in a user interface area dedicated for the product description of the product. The classifier predicts each product review content in the subset to be suitable to be used in the product description with a corresponding confidence value.

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