Verizon Patent and Licensing Inc.

Krishnendu Karmohan

Sukumar Thiagarajah

Pankaj C Rajankar

Richard Ching

Annappa D Rangappa

Vijayachandran Jayachandran

Amit Singh

Shashidhar Hiremath

Rohani Raina Jotshi

Abigail T Castaneda

Pinaki Biswas

Dustin Humphreys

Neeraj Garg

Sripriya Kannan

A system described herein may use automated techniques, such as machine learning techniques, to identify products that a user may be interested in purchasing. For example, a model may be created for a user, and attributes of products available for sale may be compared to the model. When determining that a user may be interested in a particular product, a graphical user interface ('GUI') may be pre-populated and presented to a device of the user, to facilitate the user purchasing the product with minimal interaction.

Systems and methods for machine learning-based predictive order generation

A computer initializes a configuration specified in an extensible markup language (XML) configuration file. The XML configuration file specifies at least one data source, a dimension to map each item of a plurality of items that include products, product accessories, or product support documents in the at least one data source, and a display priority for each item. Next, the computer reads data from the at least one data source specified in the configuration file. The computer generates an XML dimension hierarchy file for the read data using the configuration file. The XML dimension hierarchy file includes a dimension node for each item. Each dimension node has at least one property attached to each item and at least one synonym that is searchable to index each item. Finally, the computer preprocesses the XML dimension hierarchy file to index the at least one data source.

Auto suggestion in search with additional properties

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Scotch Plains, NJ, United States of America

Krishnendu Karmohan