Google Inc.

Bloomreach Inc.

Eightfold Ai Inc.

Ashutosh Garg

Kedar Dhamdhere

Mayur Dhondu Datar

Varun Kacholia

Vibhu Mittal

Anand Raghuraman

Abhinandan Sujit Das

Vinodh Kumar Ravindranath

Raj K De Datta

Gaurav Bhati

Srinath Sridhar

Mohit Jain

David P Stoutamire

Abhay Vardhan

Christina Augustine

Joshua Levy

Rahul Bhandari

Krishnendu Chaudhury

Prasenjit Phukan

Praveen K Patnala

Romil Shah

Pradeep Muthukrishnan

Arvind Saraf

Anindo Mukherjee

Devesh Senapati

Ramkumar Rajendran

Vinodh Kumar

Shao-Chuan Wang

Vache Moroyan

Charlie Luo

Suchitra Amalapurapu

Jasvinder Singh

Mohit Gupta

Apurva Kumar Gupta

William Uppington

Wai Hung Wong

Nishant Deshpande

Sumeet Khullar

Ram Gopalan

Vaibhav Avinash Chidrewar

Amit Aggarwal

Gagandeep Singh

Sumit Garg

Manojit Sarkar

Viksit Gaur

Antariksh Vinod Bothale

Soubhik Bhattacharya

Raj De Datta

Gurashish Singh Brar

Kevin C Chan

Kannan Nitin Sharma

Prateek Gupta

Maksim Zanko

Siddharth Balwani

Renuka Khandelwal

Ruoyu Roy Wang

Wally Ye

Stormy Shippy

Fei Xie

Fei Chen

Rahul Bhandri

A method and system for predicting a match between a candidate and a job position for an organization include generating an enriched talent profile associated with the candidate, the enriched talent profile comprising first characteristic values and second characteristic values, wherein the first characteristic values relate to characteristics verifiably possessed by the candidate, and second characteristic values are predicted values by executing a first neural network module, generating a calibrated job profile for the job position, the calibrated job profile comprising job requirements for the job position, and executing a second neural network module using the enriched talent profile and the calibrated job profile as inputs to calculate one or more hire-related prediction values for the candidate.

System, method, and computer program for automatically predicting the job candidates most likely to be hired and successful in a job

A system and method relate to excluding biasing data from talent profiles, including identifying one or more classes of bias, obtaining a first talent profile, wherein the first talent profile comprises an identifier of a person, and a plurality of values characterizing aspects of the person, determining, from the plurality of values, a first value that is indicative of influences over at least one of the one or more classes of bias, and removing or substituting the first value in the first talent profile to generate a second talent profile.

System, method, and computer program for automatically removing data from candidate profiles that may influence bias

A system and method for transferring annotations associated with a media file. An annotation associated with a media file is indexed to a first instance of that media file. By comparing features of the two instances, a mapping is created between the first instance of the media file and a second instance of the media file. The annotation can be indexed to the second instance using the mapping between the first and second instances. The annotation can be processed (displayed, stored, or modified) based on the index to the second instance.

Annotation framework for video

A system and computer program enable a candidate to anonymously apply for a job position at an organization. In response to submitting a resume or other data for the purpose of applying anonymously for a job, the system generates an anonymous profile for the candidate and provides it to the organization to which the candidate is applying. The system excludes the candidate's name from the anonymous profile. In certain embodiments, the system also excludes one or more of the following: the candidate's address, data that is indicative of a candidate's race, age, or gender, and data that is not relevant for the job role for which the candidate is applying. After reviewing the anonymous profile, the organization has the option to reject the candidate or explore the candidate further. In response to the organization rejecting the candidate, the system notifies the candidate of the rejection without revealing the candidate's identity to the organization.

System, method, and computer program for enabling a candidate to anonymously apply for a job

Techniques for thematic landing pages are disclosed. In some embodiments, a process for providing thematic landing pages includes receiving a user query for a theme; determining products (e.g., using a processor) that are relevant to the theme (e.g., based on a content relevancy); and generating a thematic web page for the theme based on the relevant products. For example, the thematic landing page can be associated with a merchant web site, and the relevant products can be products that are available via the merchant web site.

System, method and computer program product for providing thematic landing pages

The present disclosure describes a system, method, and computer program for removing or replacing information in candidate profiles that may influence bias. The system identifies data in candidate profiles that may influence bias with respect to one or more defined classes of bias, such as gender, race, or age. The identified data is removed or replaced with an abstracted/neutral form of the data. The system may also remove information that personally identifies a candidate. In certain embodiments, the system determines what data is relevant for the job for which a candidate is applying and, for data that is relevant, at what level it is relevant (i.e., at the base value or an abstracted level). In such embodiments, the system removes data from the candidate's profile that is not relevant for the job role and, where applicable, abstracts some of the remaining data to levels that are relevant for the job role.

An intelligent system and method for analyzing documents and suggesting corrections based on diversity criteria include a processing device to analyze a job document, using a machine learning model, to identify a first expression representing a first qualification requirement favorable to a first class of applicants than a second class of applicants according to a diversity metric, responsive to identifying the first expression, determine, using a semantic relation map, a second expression representing a second qualification requirement that is less favorable to the first class of applicants when compared to the first expression, and responsive to determining that the second expression, present the second expression on the interface device as a suggested replacement to the first expression in the job document.

System, method, and computer program for using machine learning to calibrate job description based on diversity criteria

Techniques for performing content performance analytics are disclosed in accordance with some embodiments. In some embodiments, a process for performing content performance analytics includes receiving content on a web site; performing content performance analytics of content available on the web site using a processor; generating a report that includes a recommended action based on the content performance analytics for the content on the web site; and automatically performing a recommended action based on the content performance analytics for the content on the web site.

Content performance analytics

Techniques for providing insights for web service providers are disclosed. In some embodiments, a system, process, and/or computer program product for providing insights for web service providers includes monitoring user activities on a web site; generating a dashboard for displaying a summary of the monitored user activities on the web site; and generating a recommendation for improving performance of the web site for display on the dashboard. For example, the recommendation can be for improving performance of search results on the web site and/or for improving content navigation on the web site.

Insights for web service providers

Techniques for performing query-dependent and content-class (e.g., with product class as a subset, in which content class can be based on a product class in an example implementation) based ranking are disclosed in accordance with some embodiments. In some embodiments, a process for performing query-dependent and content-class based ranking includes receiving a query for a search for content on a web site; performing a query-dependent and content-class based ranking of content available on the web site (e.g., using a processor); and returning a ranked list of content based at least in part on the query-dependent and content-class based ranking of content available on the web site in response to the query.

Query-dependent and content-class based ranking

A method and system relating to determine a match between a candidate and a job position for an enterprise, the method and system including receiving an enriched talent profile associated with the candidate, the enriched talent profile comprising a talent profile of the candidate derived from a first data source of the enterprise, and one or more supplemental data items obtained from a second data source independent from the first data source, generating a calibrated job profile for the job position, the calibrated job profile comprising information, and executing a machine learning module using the enriched talent profile and the calibrated job profile as inputs to determine a match score between the candidate and the job position.

Methods, systems, and apparatus, including computer program products, for assisting users in performing searches. In one aspect, a query for a search session is received from a user device. A first set of search results responsive to the query is provided to the user device. Search results interaction data are received from the user device that identifies actions that are in response to the search results and taken at the user device. The search results interaction data are analyzed to determine that a remedial search operation should be performed, the remedial search operation determining a second set of search results responsive to the query and providing the second set of search results to the user device for presentation to the user.

Providing remedial search operation based on analysis of user interaction with search results

Techniques for providing a distributed and fast data storage layer for large scale web data services are disclosed. In some embodiments, a distributed data storage layer for web data services includes storing web related data for a plurality of merchants in the distributed data storage layer; and copying on demand a data store and a search index for web related data for a first merchant to perform a job for updating the web related data for the first merchant.

Distributed and fast data storage layer for large scale web data services

Growing community of inventors

Sunnyvale, CA, United States of America

Ashutosh Garg