Ebay, Incorporated

Vineet Bindal

Ramesh Periyathambi

Lakshimi Duraivenkatesh

Naga Sita Raghuram Nimishakavi Venkata

Selcuk Kopru

Tomer Lancewicki

Pramod Mahadev Mamidipudi

Syeda Hudda

Naveen Kumar

Abdullah Rababah

Girish Kini

Deepti Bhosale

Andrew C Lin

Auston McReynolds

Jeffrey K Cavano

Manojkumar Rangasamy Kannadasan

Jeff Cavano

Jeffrey Cavano

Technologies described reduce the amount of time between requesting content and receiving the requested content. In some embodiments, a client provides a search query. A search result page is generated and, prior to returning the search result page to the client, some or all of the search results are asynchronously pre-fetched and cached. The search query can include custom parameters that are also included in the pre-fetch requests. Web addresses in the search results page can be modified to indicate whether a prefetch operation was initiated. Once a user activates one of the search results, the responding web server uses the cached data while generating a response.

Asynchronous predictive caching of content listed in search results

Systems and methods for processing webpage calls via multiple module responses are described. A system may receive a first call and a second call for module data associated with a plurality of webpage modules for presentation of a webpage at a client device; categorize the plurality of webpage modules according to historical data associated with the client device; responsive to the first call, transmit to the client device a first response comprising a first webpage module corresponding to a first category; and responsive to the second call, transmit to the client device a second response comprising a second webpage module corresponding to a second category, where the first webpage module is transmitted in the first response and the second webpage module is transmitted in the second response based on the categorization.

Multi request asynchronous delegation for enhanced performance

Systems and methods for processing webpage calls via multiple module responses are described. A system may receive, from a client device, a first call for module data associated with a set of webpage modules for presentation in a webpage. The system may subsequently transmit, to the client device based on receiving the first call, a first response including first module data associated with a first subset of the set of webpage modules. The first response may additionally include a token identifying the webpage. The server may additionally transmit, to the client device based on transmitting the first response, a second response including the token identifying the webpage and second module data associated with a second subset of the set of webpage modules that differs from the first subset of the set of webpage modules.

Systems and methods of adopting data across different sites are disclosed. In some example embodiments, a data adoption system configures a first networked site to adopt data from one or more other networked sites, detects new data on the other networked site(s), with the new data being associated with a data item on the other networked site(s), determines that a record of the data item is being stored on the first networked site, and stores the new data from the other networked site(s) on the first networked site in association with the data item based on the detecting of the new data on the other networked site(s) and the determining that a record of the data item is being stored on the first networked site.

Adopting data across different sites

Techniques for prefetching operation cost based digital content and digital content with emphasis that overcome the challenges of conventional systems are described. In one example, a computing device may receive digital content representations of digital content from a service provider system, which are displayed on a user interface of the computing device. Thereafter, the computing device may also receive digital content as prefetches having a changed display characteristic as emphasizing a portion of the digital content based on a model trained using machine learning. Alternatively, the computing device may receive digital content as a prefetch based on a model trained using machine learning in which the model addresses a likelihood of conversion of a good or service and an operation cost of providing the digital content. Upon receiving a user input selecting one of the digital content representations, digital content is rendered in the user interface of the computing device.

Techniques of prefetching operation cost based digital content and digital content with emphasis

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San Jose, CA, United States of America

Vineet Bindal