Walmart Apollo, LLC

Wal-Mart Stores, Inc.

Openwave Systems Inc.

Ioannis Pavlidis

Wei Shen

Chittaranjan Tripathy

Zoheb Vacheri

Mindi Yuan

Mukesh Jain

Abhijeet Rajendra Phatak

Kristy Ann Caster

Anand Rajaraman

David L Young

Ronald Benson

Robert Reich

Karan Khurana

William Randall Watler

Kimbal J Musk

Chris Undernehr

Peter J Newcomb

Stephen Dean Guo

Chandrasekar Ramalingam

Athanassios Diacakis

Paul Joseph Hebert

Tracy Chu

Rekha Venkatakrishnan

Kaiyi Zhang

Aaron Martin John Sharpe

Siddharth Pratap Singh

Rishabh Mudgal

Christopher Grierson

A customer order prediction system can include a computing device configured to obtain customer order data characterizing a customer's interaction with an electronic marketplace and to obtain environmental data characterizing at least one event expected to effect the customer's ordering behavior. The computing device can be further configured to generate feature data based on the customer data and the environmental data wherein the feature data organizes the customer data and the environmental data based on characteristics of an order size estimation model. The computing device is also configured to determine a predicted customer order size using the order size estimation model and to adjust a delivery availability of the electronic marketplace based on the predicted order size.

Methods and apparatuses for automatically estimating order sizes

A delivery route planning system can include a computing device configured to obtain order delivery data that includes information characterizing delivery locations and delivery time windows associated with a first plurality of orders and to determine a delivery plan based on the order delivery data. The computing device can be further configured to identify recyclable time in the delivery time and to obtain supplemental order delivery data that includes information characterizing supplemental orders characterizing delivery locations and delivery time windows associated a second plurality of orders. The computing system can add one or more supplemental order deliveries from the second plurality of orders to the delivery plan based on the recyclable time, the supplemental order delivery data and at least one predetermined delivery constraint.

Methods and apparatuses for adding supplemental order deliveries to delivery plans

This application relates to apparatus and methods for automatic delivery route generation and assignment. In some examples, a computing device determines delivery locations for each of a plurality of previous routes taken by each of a plurality of drivers over a period of time. The computing device also obtains a plurality of current routes to be assigned to the plurality of drivers. Further, the computing device determines a familiarity value for each of the plurality of drivers for each of the plurality of current routes based on the delivery locations of the previous routes taken by each driver. The computing device assigns each of the plurality of drivers to a current route based on the determined familiarity values, and stores the assignments in a data repository. In some examples, the computing device transmits the assignments to another computing device, such as a computing device of each driver.

Methods and apparatus for automatic route assignment

This application relates to apparatus and methods for automatically providing item reviews. In some examples, a website provides a widget on a website allowing a customer to request an item review for an item. In response to the customer requesting the item review, a computing device determine whether suitable reviews for the item are available. If suitable reviews are available, the reviews are provided to the customer requesting the item review. If suitable reviews are not available, the computing device determines a set of customers to request item reviews for the item from, and provides item review requests to the determined set of customers. The computing device receives responses to the item review requests received from the set of customers, and provides an item review based on the received item review requests. In some examples, the website provides the item review to the customer requesting the item review.

Methods and apparatus for automatically providing item reviews and suggestions

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.

A system, method and computer product for allowing a processing device to generate search engine results to locate personalized product substitutions, filter the search results based on product characteristics and customer and retailer preferences, and provide personalized substitution recommendations to online grocery shoppers.

System, method, and non-transitory computer-readable storage media for evaluating search results for personalized product substitutions

A system, method and computer product for allowing a processing device to generate search engine results and match ingredients from a recipe or grocery list to products available for purchase from a retailer.

System, method, and non-transitory computer-readable storage media for evaluating search results for matching ingredients to products

A system, method and computer product for allowing a processing device to generate search engine results using a cobought model algorithm, filter the search results based on product information and past transaction data, and provide personalized recommendations for online grocery shoppers.

System, method, and non-transitory computer-readable storage media for evaluating search results for online grocery personalization

Methods for making gift recommendations are disclosed. The interests of an intended recipient are identified as are the interests associated with a particular product. Products corresponding to the recipient's interests are identified and then ranked according to giftability. Giftability indicates the appropriateness of a product for giving as a gift. Products may also be ranked according to appropriateness for a category or occasion. Giftability may be specified or inferred from one or more of gift-wrapping requests, gifting references in comments or reviews, and sales surges during holidays. A Na&#xef;ve-Bayes-type method may be used to infer the giftability of products for which such data is not available.

Determining giftability of a product based on recipient interests

A method and system for ranking Web pages in a Web search engine is described. One illustrative embodiment receives a Web search query from a particular user, the query including at least one keyword; identifies one or more Web pages that contain the at least one keyword; determines, for each of the one or more Web pages, a raw page ranking; adjusts the raw page ranking of each of at least one Web page among the one or more Web pages based on direct evidence of how interesting that Web page is to users to produce an adjusted page ranking, the direct evidence being derived from clickstream data collected from the users; and presents, as search results, the at least one Web page to the particular user in accordance with the adjusted page rankings.

Method and system for ranking web pages in a search engine based on direct evidence of interest to end users

Disclosed are methods for identifying topical experts from a seed set of experts by identifying 'second tier' influencers for the topic. New concepts detected among a pool of experts and second tier influencers are monitored among the general population and their significance evaluated. Reports may be generated for these detected trends. Trends in social media for a concept represented in a taxonomy may be detected by monitoring content for descendent nodes for the concept. Correlations between social media activity with respect to the concept and sales of products corresponding to the concept may be made and sales predicted for the same or different products that correspond to descendants of the concept in the taxonomy.

System and method for analyzing social media trends

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.

System and method for making gift recommendations using social media data

Disclose 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.

Growing community of inventors

Boulder, CO, United States of America

Ioannis Pavlidis