Wal-mart Stores, Inc.

Walmart Apollo, LLC

Zoheb Vacheri

Anand Rajaraman

Wang Chee Lam

Taraka Subrahmanya Prasad Siripurapu

Lu Liu

AnHai Doan

Ioannis Pavlidis

Kannan Achan

Wei Shen

Min Xie

Ronald Benson

Chris Undernehr

Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of training one or more first models to recommend a first item after a user has had an interaction on the web site of the online retailer with a second item, determining static features common to both the first item and the second item, training a second model to determine whether to coordinate a display of any new item as one of one or more recommended items with any of a plurality of items, and coordinating the display of the new item as one of the one or more recommended items when the one or more of the plurality of items are displayed on the website of the online retailer based on the static features of the new item.

Systems and methods for recommending cold-start items on a website of a retailer

In one aspect, a computer system for evaluating the accuracy of an identity mapping method is disclosed. The system can comprise a system memory, one or more processors, and/or a computer readable medium containing compute-executable instructions representing a probability accuracy module. The probability accuracy module can be configured to query an identity map database for an identity map created using the identity mapping method, compare the identity map with additional social media data, calculate a correlation based on similarities between the social media data and the additional social media data, and/or verify the identity map based on the correlation. The identity map can be based on commerce data from a retailer and/or social media data from a first social media site. The additional social media data can be based on at least one of a second social media site different from the first social media site, a social media account expressly linked to a commerce customer account, and/or a social media database. Other embodiments are disclosed herein.

Identity mapping between commerce customers and social media users

The present disclosure extends to methods, systems, and computer program products for identity mapping between commerce customers and social media users. Aspects of the invention use inferred attributes and activity correlations from both commerce data and social media data to map identities. In one aspect, activity correlations are calculated between a commerce customer account and each of the one or more candidate social media user accounts. For each of the one or more candidate social media user accounts, a probability that the commerce customer account and the social media user account map to the same identity is calculated. In another aspect, the accuracy of a mapping between a commerce customer account and a social media user is evaluated using additional social media data.

Disclosed are systems and methods for processing events in an event stream using a map-update application. The events may be embodied as a key-attribute pair. An event is processed by one or more instances implementing either a map or an update function. A map function receives an input event from the event stream and publishes one or more events to the event stream. An update function receives an event and updates a corresponding slate and publishes zero or more events. Systems and methods are also disclosed herein for implementing a map-update application in a multithreaded architecture and for handling overloading of a particular thread or node. Systems and methods for providing access to slates updated according to update operations are also disclosed.

Systems and methods for event stream processing

Disclosed are methods for evaluating a user's interests and making gift recommendations using social media data. Interests and attributes of a user may be detected from social media content and products corresponding to the interests and attributes may be selected and presented as gift recommendations for the user. Methods are disclosed for resolving ambiguity as to interests reflected by textual data in social media content. Also disclosed are methods for inferring a user's interests from the interests of friends of the user.

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Sunnyvale, CA, United States of America

Zoheb Vacheri