Olivier Antoine Chaine

US Patent:

8626697, Jan 7, 2014

Filed:

Feb 28, 2011

Appl. No.:

13/037168

Inventors:

Olivier Antoine Chaine - Los Angeles CA, US
Benoit Vatere - Redondo Beach CA, US
Anand Ramamurthy - Hermosa Beach CA, US
Scott A. Riley - Bourbonnais IL, US

Assignee:

magnify360, Inc. - Los Angeles CA

International Classification:

G06F 17/00
G06N 5/02

US Classification:

706 50, 709222, 709217, 709224, 709228, 709229

Abstract:

First contextual data characterizing behavioral attributes of a user visiting at least one web page is received. The first contextual data is collected by anonymously tracking interaction of the user with the at least one web page via a data collector embedded in the at least one web page. Second contextual data characterizing non-behavioral attributes of the user is also received. The second contextual data is based solely on anonymously collected information and it originates from a data source other than the data collector. Thereafter, it is determined which attributes among a plurality of pre-defined attributes are present for the user based on the first contextual data and the second contextual data. The determined plurality of attributes are associated with a best fit amongst a plurality of clusters or associations generated by grouping users with similar attributes that participated in a plurality of historical transactions. Subsequently, using at least one predictive model trained with historical user conversion data, it is determined which of a plurality of available offers for presentation via at least one web page is most likely to result in a conversion of the user based on the pertinent cluster or association so that the presentation of the identified available offer can be initiated.

US Patent:

8195804, Jun 5, 2012

Filed:

Dec 6, 2011

Appl. No.:

13/312848

Inventors:

Olivier Antoine Chaine - Los Angeles CA, US
Scott A. Riley - Bourbonnais IL, US
Rocky Kitamura - Playa Del Rey CA, US

Assignee:

magnify360, Inc. - Los Angeles CA

International Classification:

G06F 15/173

US Classification:

709226, 725 4

Abstract:

Systems and methods are provided in which performance is simulated for each of a plurality of traffic allocation models during each of a plurality of historical time segments to obtain a performance metric for each time segment. Thereafter, an allocation value is calculated for each model based on the performance metrics. Once the allocation value has been established for the models, allocations are auctioned among the plurality of models during a plurality of auction rounds. These auctioned allocations are used to determine traffic allocation probabilities among the plurality of model so that traffic can be served on at least one website according to models corresponding to the determined traffic allocation probabilities. Related apparatus, systems, techniques and articles are also described.