Abstract: A method determines a user demographic profile of a user that visits one or more websites of a predetermined group of websites. The method includes generating a first record of visits by the user to the websites of the predetermined group of websites. The method further includes providing one or more website profiles comprising demographic characteristics of each website visited by the user of the predetermined group of websites. The method further includes calculating an estimated user demographic profile of the user by using the first record of visits by the user and the one or more website profiles.

Abstract: A method, apparatus, system, and computer program product provide the ability to bid for an advertising impression. Via input from an advertising purchaser, a publisher specification is defined. The publisher specification provides impression information regarding impressions desired by the advertising purchaser. An auction is conducted by receiving one or more bids (that comply with the specification) from one or more publishers. A determination is made regarding which of the one or more publishers has provided a successful bid. The advertising purchaser is enabled to provide one or more advertisements to the one or more successful bidding publishers.

Abstract: A method and system provide the ability to determine matching subjects for features provided in a stimulus. Subject information is pre-processed by receiving input (a feature type definition and a subject set) and building BitSets across all subjects in the subject set. The stimulus is received and includes stimulus features. For each feature type in the stimulus features, all feature type BitSets from the subject set that match are assembled. An evaluation BitSet is built by combining the assembled feature type BitSets. Matching subjects that match the stimulus are determined based on the evaluation BitSet.

Abstract: A method and system provide the ability to forecast events that match a criterion. Input is received and includes an event set and a criterion. The event set includes events and each of the events is a record with features. Each feature is an instance of a feature type (FT) and feature value (FV) combination. The criterion is a logical statement that specifies a criterion FT, a criterion FV, and an operator. The event set is partitioned and a partition BitSet is built for each partition. Each partition length of each partition BitSet is based on a number of the events. Based on the partition BitSets, a partition FT-FV count is created. For each partition, a partition FT criterion BitSet is created and a partition Criterion BitSet is computed based thereon. The forecast is then computed based on the partition Criterion BitSet.

Abstract: A method and system provide the ability to determine matching subjects for features provided in a stimulus. Subject information is pre-processed by receiving input (a feature type definition and a subject set) and building BitSets across all subjects in the subject set. The stimulus is received and includes stimulus features. For each feature type in the stimulus features, all feature type BitSets from the subject set that match are assembled. An evaluation BitSet is built by combining the assembled feature type BitSets. Matching subjects that match the stimulus are determined based on the evaluation BitSet.

Abstract: A method determines a user demographic profile of a user that visits one or more websites of a predetermined group of websites. The method includes generating a first record of visits by the user to the websites of the predetermined group of websites. The method further includes providing one or more website profiles comprising demographic characteristics of each website visited by the user of the predetermined group of websites. The method further includes calculating an estimated user demographic profile of the user by using the first record of visits by the user and the one or more website profiles.

Abstract: A method determines a user demographic profile of a user that visits one or more websites of a predetermined group of websites. The method includes generating a first record of visits by the user to the websites of the predetermined group of websites. The method further includes providing one or more website profiles comprising demographic characteristics of each website visited by the user of the predetermined group of websites. The method further includes calculating an estimated user demographic profile of the user by using the first record of visits by the user and the one or more website profiles.