AdMobius - San Mateo since Jul 2011
Co-Founder and Chief Scientist
Education:
Harvard University 2009
PhD Candidate
Massachusetts Institute of Technology 1999 - 2004
B.S., M. Eng, Electrical Engineering Computer Science
MIT
BS, EECS
MIT
M.Eng., EECS
Us Patents
Network-Based Targeted Content Delivery Based On Queue Adjustment Factors Calculated Using The Weighted Combination Of Overall Rank, Context, And Covariance Scores For An Invitational Content Item
Eswar Priyadarshan - West Roxbury MA, US Kenley Sun - Cambridge MA, US Dan Marius Grigorovici - Pleasanton CA, US Ravikiran Chittari - Acton MA, US Jayasurya Vadrevu - Lexington MA, US Omar Abdala - Cambridge MA, US
Assignee:
Apple Inc. - Cupertino CA
International Classification:
G06Q 10/00
US Classification:
705 144
Abstract:
Systems and methods are provided for audience targeting based on a performance history of invitational content from secondary content providers, such as advertisements. In operation, responsive to request from a user for content package, a queue of available invitational content is retrieved. Thereafter, based at least on a performance history of the available invitational content in the queue, a context of the primary content, and a performance history of invitational content previously presented to other users, the queue can be at least partially reordered to provide an adjusted queue. The invitational content for the content package can then be selected based on the adjusted queue.
Selection And Delivery Of Invitational Content Based On Prediction Of User Interest
Eswar Priyadarshan - West Roxbury MA, US Kenley Sun - Cambridge MA, US Dan Marius Grigorovici - Pleasanton CA, US Jayasurya Vadrevu - Lexington MA, US Omar Abdala - Cambridge MA, US
Assignee:
Apple Inc. - Cupertino CA
International Classification:
G06F 17/30
US Classification:
707740, 707608, 707802
Abstract:
Systems and methods are provided for selecting invitational content for users based on their short-term and their long-term features. In operation, responsive to a request from a user terminal for a content package a journal of events associated with a user. Thereafter, short-term and long-term features in the journal are identified and tagged with pre-defined tags indicating a type of content associated with the patterns. The tags are then used to select invitational content by selecting content based on tags for the identified short-term features associated with a threshold level of activity or tags for the identified long-term features.
Selection And Delivery Of Invitational Content Based On Prediction Of User Intent
Eswar Priyadarshan - West Roxbury MA, US Kenley Sun - Cambridge MA, US Dan Marius Grigorovici - Pleasanton CA, US Jayasurya Vadrevu - Lexington MA, US Omar Abdala - Cambridge MA, US
Assignee:
Apple Inc. - Cupertino CA
International Classification:
G06F 3/01 G06F 15/16
US Classification:
715736, 715738
Abstract:
Systems and methods are provided for delivering invitational content based on a prediction of the intent of a user. In particular, partial action sequences are identified in a journal of events associated with the user. Thereafter, the partial sequences are analyzed and scored based on their degree of proximity to completion. Based on this scoring, a queue of invitational content can then be generated, where the scoring can be used to select and order the invitational content for the user. In some configurations, the information in the journal can be used to determine future time intervals at which sequences will be completed by the user. Consequently, a queue can be adjusted to provide delivery of appropriate invitational content at these future time intervals.
Apparatus To Measure The Instantaneous Patients' Acuity Value
Mohammed Saeed - Cambridge MA, US Larry Nielsen - Burlington MA, US Joseph J. Frassica - Westborough MA, US Walid S.I. Ali - Chandler AZ, US Larry J. Eshelman - Ossining NY, US Wei Zong - Croton-On-Hudson NY, US Omar Abdala - Waltham MA, US
Assignee:
KONINKLIJKE PHILIPS ELECTRONICS N. V. - Eindhoven
International Classification:
A61B 5/00 G06Q 50/00 G06F 17/30
US Classification:
600301, 705 2, 707 4
Abstract:
In a patient monitoring system (), shorter interval physiological parameters and longer interval clinical data are collected from a monitored patient (). A composite acuity score generator () generates or updates a composite acuity score indicative of wellbeing of the patient () based at least on the sensed physiological parameters and the longer interval data. A monitor () displays current values of at least one of selected sensed physiological parameters, longer interval data, and the composite acuity score.
Dan Marius Grigorovici - Pleasanton CA, US Omar Abdala - Cambridge MA, US
Assignee:
Apple Inc. - Cupertino CA
International Classification:
G06F 15/16
US Classification:
709201
Abstract:
Systems and methods are provided for selecting content based on user interactions with content previously presented to a user but failing to generate a conversion. In operation, a content delivery system delivers a content package to a user terminal, where the content package includes a content designed to elicit a pre-defined response, such as a conversion. The user terminal then presents the content to a user and generates a journal of events occurring in response to the content package. The journal is then used to determine the proximity of the events in the journal to the pre-defined response. If the degree of proximity to the desired response is high, the user is likely prepared to complete the conversion and therefore a same or similar content can be selected for the user terminal. Otherwise, new content can be delivered to the user terminal.
Eswar Priyadarshan - West Roxbury MA, US Dan Marius Grigorovici - Pleasanton CA, US Ravikiran Chittari - Acton MA, US Omar Abdala - Cambridge MA, US Hao Duong - Castro Valley CA, US
Assignee:
Apple Inc. - Cupertino CA
International Classification:
G06Q 10/00
US Classification:
705 28
Abstract:
Systems and methods are provided for automating booking and pricing of inventory atoms are provided, where each atom defines a granular traffic target in a k-dimensional booking space. In operation, a content delivery system receives a request for an inventory slot, consisting of at least some segment characteristics and a cost objective. In response to this request, the content delivery system retrieves availability for each atom in the target inventory slot from an inventory atom database. Additionally, a pricing for each atom in the request inventory slot is also obtained. Thereafter, the content delivery system will assemble a proposed inventory slot for the advertiser that includes the atoms that meet the advertiser's cost objective and the total cost for the proposed inventory slot. If accepted, the atom inventory database can be updated to reflect the new unavailability of the atoms in the proposed database.
Predicting Content And Context Performance Based On Performance History Of Users
Eswar Priyadarshan - West Roxbury MA, US Dan Marius Grigorovici - Pleasanton CA, US Ravikiran Chittari - Acton MA, US Prasenjit Mukherjee - Bangalore, IN Omar Abdala - Cambridge MA, US
Assignee:
Apple Inc. - Cupertino CA
International Classification:
G06F 17/30
US Classification:
707723, 707749, 707737, 707E17044, 707E17089
Abstract:
Systems and methods are provided for selecting contexts for new invitational content and invitational content for new contexts. In particular, a performance history of delivered invitational content in known contexts is combined with similarity measures for the delivered invitational content, with respect to a new invitational content, to generate a list of potential contexts for the new invitational content. Similarly, a performance history of in known contexts with delivered invitational content can combined with similarity measures for known contexts, with respect to a new context, to generate a list of potential content for the new context. Further, a combination of these methods can be used to pair new invitational content with new contexts.
Forecasting And Booking Of Inventory Atoms In Content Delivery Systems
Eswar Priyadarshan - West Roxbury MA, US Dan Marius Grigorovici - Pleasanton CA, US Omar Abdala - Cambridge MA, US Prasenjit Mukherjee - Bangalore, IN
Assignee:
Apple Inc. - Cupertino CA
International Classification:
G06Q 30/00
US Classification:
705 1442, 705 144, 705 1443
Abstract:
Systems and methods for planning and booking advertising campaigns are provided. In operation, a booking engine generates a collection of proposed campaigns in response to a campaign request, where the each of the proposed campaigns corresponds to a scenario of atom availability. Such scenarios can account for possible or anticipated changes in the number and cost of atoms or any other changes of interest to the advertiser. The availability for the atoms in the campaign request can be projected using the past history and the known future unavailability of the atoms and is further modified to account for the variation in atom availability associated with each scenario. Thereafter, the booking engine can present the results for each scenario to the advertiser and allow him to select a campaign.