Walmart Apollo, LLC

Cbs Interactive, Inc.

Anthony Soohoo

Amit Agarwal

Ashish Kumar Gupta

Abilash Amarthaluri

Venkatesh Kandaswamy

Zuzar Fakhruddin Nafar

Rohit Deep

Behzad Ahmadi

Omer Ovenc

Vijay Raghavendra

Karthik Deivasigamani

Alfonso Acevedo

Avery Armour

Charles Myslinsky

Arvind Senthil Kumaran

Suleman Ashfaq

Harman Kochar

Sreyash D Kenkre

Vikas Choudhry

John D Russell

Carlos Teran

Kris Wainscott

Jeff Clark

A webpage serving system is provided and generally includes a server and a computing device. The server may receive a webpage data request for a webpage from the computing device. In response, the server may transmit data identifying a webpage that allows a plurality of items to be added to an online shopping cart in one transaction. The data may include a document, such as an HTML document, based on the type of webpage requested. The document may include instructions to download a particular bundle from a server. The server may also receive a request from the computing device to add at least one item of the plurality of items to the online shopping cart. In response, the server may add the requested item to the online shopping cart. The server may also transmit data confirming that the requested item was added to the online shopping cart.

Apparatus, method, and computer-readable medium for facilitating electronic webpage purchases

A system can include one or more processors and non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform a method for determining one or more substitutes for a product requested in an inquiry from a user. The method comprises one or more of the steps including receiving an inquiry from a user, which comprises a requested product; extracting one or more attributes of the requested product based on the inquiry; determining a context of the inquiry; and determining one or more substitutes for the requested product from an inventory database based on a distance between the requested product and each substitute of the one or more substitutes, as projected in a product graph relating to a domain of the requested product and the context of the inquiry. In many embodiments, the product graph relating to the domain is generated by a machine learning module configured to dynamically learn information about the domain from various sources, including one or more expert opinions, the inventory database, and/or public records; and dynamically build the product graph according to the information about the domain. An exemplary machine learning module can be configured to dynamically build the product graph by: creating one or more product categories in the domain; extracting one or more entity nodes from the one or more product categories based on the information about the domain; and build one or more connections, including an entity-entity connection between each pair of related entity nodes, a product-entity connection between each product node and each of one or more entity nodes associated with the each product node, and a product-product connection between each pair of related product nodes. Other embodiments are disclosed.

System and method for determining substitutes for a requested product

A system can include one or more processors and non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform a method for determining one or more substitutes for a product requested in an inquiry from a user and the order of the one or more substitutes to be transmitted to the user. The method can comprise: receiving an inquiry from a user, wherein the inquiry comprises an image and a text describing a requested product; extracting one or more visual attributes of the requested product based on the image; extracting one or more textual attributes of the requested product based on the text; determining a first projected requested product, in a product graph relating to a domain of the requested product, based on the one or more visual attributes of the requested product; determining a second projected requested product in the product graph based on the one or more textual attributes of the requested product; and determining one or more substitutes for the requested product. In this embodiment, the one or more substitutes for the requested product can be determined by: determining one or more first candidates, each first candidate of the one or more first candidates existing in both the product graph and an inventory database and comprising a visual distance between the first projected requested product and the each first candidate in the product graph; determining one or more second candidates, each second candidate of the one or more second candidates existing in both the product graph and the inventory database and comprising a textual distance between the second projected requested product and the each second candidate in the product graph, the one or more substitutes comprising the one or more first candidates and the one or more second candidates; determining a score of a candidate substitute of the one or more substitutes based on a visual distance and a textual distance of the candidate substitute of the one or more substitutes; and sorting the one or more substitutes based on the score of the candidate substitute of the one or more substitutes. In this embodiment, after the one or more substitutes are determined and sorted, this method can further comprise: in response to receiving the inquiry from the user, automatically transmitting to the user higher ranked ones of the one or more substitutes. Additionally, in this embodiment, the product graph can be dynamically generated by a machine learning module based on information about the domain of the requested product; and the product graph can comprise: (a) one or more product nodes, the one or more product nodes comprising the one or more substitutes; (b) one or more entity nodes, the one or more entity nodes comprising the one or more visual attributes and the one or more textual attributes of the requested product; (c) one or more entity-entity connections between each pair of related entity nodes of the one or more entity nodes; (d) one or more product-entity connections between a product node of the one or more product nodes and an entity node of the one or more entity nodes, wherein the entity node is related to the product node; and (e) one or more product-product connection between a first product node of the one or more product nodes and a second product node of the one or more product nodes, wherein the first product node and the second product node are determined to be substitutable by or complimentary of each other. Other embodiments are disclosed.

System and method for determining substitutes for a requested product and the order to provide the substitutes

A webpage serving system is provided and generally includes a server and a computing device. The server can receive a webpage request from the computing device, and determine a type of webpage being requested. The server may provide a document, such as an HTML document, to the computing device based on the type of webpage. The document may include instructions to download a particular bundle, which may include one or more files, from a server. The bundle identified in the instructions may be based on the type of webpage the document is for. The customer computing device may receive the requested bundle, and display the requested webpage based on the information received in the document and in the bundle.

Method and apparatus for servicing webpage requests

A system and method of managing a digital video recorder using a user customizable television broadcast list which includes a list of a plurality of user selected television programs being displayed on a website. The television programs on the list are identified based on date and time broadcast information which are retrieved from a storage medium. The list includes television programs only to be broadcast on a particular user selected date. At least one of the user selected television programs from the list is exported to a digital video recorder (DVR) upon the user selecting the at least one user selected television program from the list. The DVR is instructed to automatically record the television programs at a predetermined date and time based on the date and time broadcast information.

System and method of managing a digital video recorder using a user television broadcast list

Growing community of inventors

Palo Alto, CA, United States of America

Anthony Soohoo