Patent application number | Description | Published |
20080306931 | Event Weighting Method and System - A system and method to facilitate automatic weighting of events in a network and targeting of advertising information to users within the network based on assigned event weights are described. Multiple events associated with a user are retrieved from a data storage module. Each event is further analyzed to extract one or more event features. A weight parameter value is further calculated for each retrieved event. Each event is further assigned to a predetermined category based on the calculated weight parameter value. Finally, each event and the associated weight parameter value are stored within the data storage module in connection with the predetermined category. | 12-11-2008 |
20090006363 | Granular Data for Behavioral Targeting - A method of targeting receives several granular events and preprocesses the received granular events thereby generating preprocessed data to facilitate construction of a model based on the granular events. The method generates a predictive model by using the pre-processed data. The predictive model is for determining a likelihood of a user action. The method trains the predictive mode. A system for targeting includes granular events, a preprocessor for receiving the granular events, a model generator, and a model. The preprocessor has one or more modules for at least one of pruning, aggregation, clustering, and/or filtering. The model generator is for constructing a model based on the granular events, and the model is for determining a likelihood of a user action. The system of some embodiments further includes several users, a selector for selecting a particular set of users from among the several users, a trained model, and a scoring module. | 01-01-2009 |
20100082404 | SYSTEM AND METHOD FOR UTILIZING DATE CONSTRAINTS IN AN ADVERTISEMENT SERVING SYSTEM - Generally, embodiments of the present invention provide for methods, systems and computer program products for utilizing date constraints in an advertisement serving system. The method according to one embodiment of the present invention comprises receiving a request for one or more advertisements that satisfy one or more constraints. A set of advertisement contracts is generated, wherein the set of advertisement contracts comprise one or more advertisement contracts that satisfy the one or more constraints. The contractual time period for a given advertisement contract in the set of advertisement contracts is then determined. A subset of advertisement contracts is then generated, wherein the subset of advertisement contracts comprises the advertisement contracts in the set of advertisement contracts that are active on a given date. The subset of advertisement contracts is then inputted into an optimization algorithm and one or more advertisement contracts are selected by the optimization algorithm. | 04-01-2010 |
20100082412 | SYSTEM AND METHOD FOR OPTIMIZING AN ADVERTISEMENT PLAN FOR ALLOCATING ADVERTISEMENTS TO A CONTRACT IN A NETWORK-BASED ENVIRONMENT - The present invention is directed to a system and method for optimizing an advertisement plan for allocating advertisements to a contract in a network-based environment. The system and method includes determining a shadow price for an advertisement placement where the advertisement placement is associated with a user having defined characteristics. The system and method includes determining a contract price for the advertisement placement relative to a plurality of advertisement contracts for the user having the defined characteristics. The system and method includes determining an advertisement plan for allocating an advertisement to a given contract on the basis of the shadow price and the contract price. The system and method includes presenting a given advertisement associated with the given contract according to the advertisement plan on network-based output. | 04-01-2010 |
20100082424 | OFFLINE OPTIMIZATION OF ONLINE PROCESSES - Subject matter disclosed herein relates to a system for managing online resources, and in particular, to a system using an offline process to optimize the management of such online resources. | 04-01-2010 |
20100094881 | SYSTEM AND METHOD FOR INDEXING SUB-SPACES - The present invention is directed to systems and methods for identifying compatible advertisement contracts to satisfy an advertisement opportunity. The systems and methods include receiving a number of attribute values associated with a user accessing a network-based location. The systems and methods include sorting an index of lists for a plurality of advertisement contracts on the basis of a number of contract term values. The systems and methods include traversing the index of lists to return a set advertisement contracts compatible with the number of attribute values associated with the user. The systems and methods include selecting a given advertisement contract from the set of advertisement contracts compatible with the number of attribute values associated with the user. The systems and methods include presenting an advertisement associated with the given advertisement contract on a display viewable by the user accessing the network-based location. | 04-15-2010 |
20110131160 | Method and System for Generating A Linear Machine Learning Model for Predicting Online User Input Actions - A method of targeting receives several granular events and preprocesses the received granular events thereby generating preprocessed data to facilitate construction of a model based on the granular events. The method generates a predictive model by using the preprocessed data. The predictive model is for determining a likelihood of a user action. The method trains the predictive model. A system for targeting includes granular events, a preprocessor for receiving the granular events, a model generator, and a model. The preprocessor has one or more modules for at least one of pruning, aggregation, clustering, and/or filtering. The model generator is for constructing a model based on the granular events, and the model is for determining a likelihood of a user action. The system of some embodiments further includes several users, a selector for selecting a particular set of users from among the several users, a trained model, and a scoring module. | 06-02-2011 |
20140200999 | GRANULAR DATA FOR BEHAVIORAL TARGETING - A method of targeting receives several granular events and preprocesses the received granular events thereby generating preprocessed data to facilitate construction of a model based on the granular events. The method generates a predictive model by using the preprocessed data. The predictive model is for determining a likelihood of a user action. The method trains the predictive model. A system for targeting includes granular events, a preprocessor for receiving the granular events, a model generator, and a model. The preprocessor has one or more modules for at least one of pruning, aggregation, clustering, and/or filtering. The model generator is for constructing a model based on the granular events, and the model is for determining a likelihood of a user action. The system of some embodiments further includes several users, a selector for selecting a particular set of users from among the several users, a trained model, and a scoring module. | 07-17-2014 |