Abstract: An intent score is assigned to users who are viewing online ads. Users define a bid-range and adjust pricing within the range at an individual user level, based on an intent score that is derived from user activity. An advertiser typically defines a bid range. If the user then interacts with ads or visits the advertiser's website then, based on user actions, the bid price is revised. This process of bid price revision is continuous and results in increased or decreased bid prices for individual users. All participating users and their intent scores are periodically uploaded to RTB platforms where they are used to purchase ad impressions. This increases the likelihood of winning bids for more valuable users with better precision without raising bid prices for entire segments of users.

Abstract: An intent score is assigned to users who are viewing online ads. Users define a bid-range and adjust pricing within the range at an individual user level, based on an intent score that is derived from user activity. An advertiser typically defines a bid range. If the user then interacts with ads or visits the advertiser's website then, based on user actions, the bid price is revised. This process of bid price revision is continuous and results in increased or decreased bid prices for individual users. All participating users and their intent scores are periodically uploaded to RTB platforms where they are used to purchase ad impressions. This increases the likelihood of winning bids for more valuable users with better precision without raising bid prices for entire segments of users.

Abstract: An advertising system delivers video ads into hypertext documents, where these ads provide enhanced user interactivity features selected and configured by advertisers or other ad sponsors. The system also provides sophisticated tracking and real time reporting of viewer interactivity with the video ads and their enhanced features.

Abstract: Techniques are provided by which brand awareness metrics are defined and computed. Such brand awareness metrics may include: Awareness, Consideration, Engagement, and Purchase Intent. Such metrics may correspond to stages of a consumer's online buying behavior and may be computed based, in part, on recordings of interactions the consumer has had with an online advertisement.

Abstract: An advertising system delivers video ads into hypertext documents, where these ads provide enhanced user interactivity features selected and configured by advertisers or other ad sponsors. The system also provides sophisticated tracking and real time reporting of viewer interactivity with the video ads and their enhanced features.

Abstract: Users create advertisement components using a browser-based application. Once the components are generated, the application compiles the components on the backend to generate a seamless advertisement. Metadata are applied to the advertisements to specify a geographic location, demographics, and keywords. The advertisements are matched up with clients based on identifying information in the user profiles. The geographic location includes zip codes and surrounding areas. The advertisement includes coupons that are presented in local stores. The cost of displaying the advertisement is negotiated between the advertiser and the publisher according to the number of slots available, and the prices that each party is willing to accept.

Abstract: A method and system for organizing data to facilitate access to information defined by an analytic application. In particular, a taxonomy (hierarchy) for organizing the information and data (e.g., business metrics, transformed data, untransformed data, or raw data) is described. The information and data are stored in a repository and categorized in a hierarchical organization navigable by users. A user can select certain instances of the data in the hierarchy to create a customized list containing data of particular interest. Accordingly, access to particular information in the vast amount of information defined by an analytic application is facilitated, and new information of particular interest can be accessed in a timely manner.

Abstract: A transformation description language (TDL) for specifying how data is to be manipulated in a data warehousing application. The TDL is comprised of a source for storing raw data, one or more transformation objects for processing the raw data according to predefined instructions, and a target for storing the processed data. A mapping is used for directing the data flow between the I/O ports corresponding to the source, the plurality of transformation objects, and the target. The mapping specifies the connectivity between the source, transformation, and target objects as well as the order of these connections. There are a number of different transformations which can be performed to manipulate the data. Some such transformations include: an aggregator transformation, an expression transformation, a filter transformation, a lookup transformation, a query transformation, a sequence transformation, a stored procedure transformation, and an update strategy transformation.

Abstract: A method and system for accessing and sharing metadata amongst a number of data marts through the use of object referencing. A global repository is created. Shared folders containing metadata is contained in the global repository. Any number of data marts can be linked to the global repository. Stored within the folders of the linked data marts are references pointing to certain metadata stored in the shared folders of the global repository. Multiple data marts can reference the same metadata in the global repository. Thereby, the same metadata can be accessed, used, and shared by multiple users across different data marts, provided that they have been granted the proper authority. New metadata can be promoted from a linked data mart into the global repository so that it can be shared, and updates to shared metadata can be automatically propagated to all users referencing that metadata.

Abstract: A method for updating a target table of a data mart in response to changes made by a transaction to data stored in a source table of an operational database. Data that was changed in the source table by the transaction is stored in a dynamic image table of a change capture database. Data that was not changed in the source table by the transaction, but which is nevertheless required to be mapped to the target table, is stored in a static image table of the change capture database. The change capture database also contains relevant information regarding the transaction. Once the dynamic and static image tables are properly staged, the changes are propagated from the change capture database to the target tables of the data marts. In other words, data is extracted from the change capture database and subsequently transformed and loaded, thereby minimizing the impact to the operational database. Thereupon, the tables of the change capture database are truncated to discard data which is now no longer needed.

Abstract: A transformation description language (TDL) for specifying how data is to be manipulated in a data warehousing application. The TDL is comprised of a source for storing raw data, one or more transformation objects for processing the raw data according to predefined instructions, and a target for storing the processed data. A mapping is used for directing the data flow between the I/O ports corresponding to the source, the plurality of transformation objects, and the target. The mapping specifies the connectivity between the source, transformation, and target objects as well as the order of these connections. There are a number of different transformations which can be performed to manipulate the data. Some such transformations include: an aggregator transformation, an expression transformation, a filter transformation, a lookup transformation, a query transformation, a sequence transformation, a stored procedure transformation, and an update strategy transformation.

Abstract: A method of performing incremental aggregation of dynamically increasing database data sets. An embodiment of the present invention operates within a data mart or data warehouse to aggregate data stored within an operational database corresponding to newly received data to provide current information. Initially, a computer server creates an intermediate file which is initialized by the server with an aggregate data set. The aggregate data set consists of data values and count values that each correspond to specific group identifiers. The computer determines if any group identifiers within a new set of inputs data are identical to any group identifiers stored within the intermediate file. If an inputted group identifier matches a stored group identifier, the inputted data value is aggregated with the stored data value and the count value corresponding to the specific stored group identifier is incremented by one.