Abstract: A method of matching a first entity to a second entity by evaluating Boolean expressions includes identifying a set of criteria vertices for a second entity vertex by traversing a graph database in a manner constrained to fact vertices identified for the second entity. The graph database relates fact vertices to the criteria vertices by edges corresponding to Boolean expressions for satisfying criteria for matching first entities to second entities. The method additionally includes selecting one of the first entities based on the criteria vertices of the set. The method further includes matching the first entity to the second entity based on the selection.

Abstract: A method of matching a first entity to a second entity by evaluating Boolean expressions includes identifying a set of criteria vertices for a second entity vertex by traversing a graph database in a manner constrained to fact vertices identified for the second entity. The graph database relates fact vertices to the criteria vertices by edges corresponding to Boolean expressions for satisfying criteria for matching first entities to second entities. The method additionally includes selecting one of the first entities based on the criteria vertices of the set. The method further includes matching the first entity to the second entity based on the selection.

Abstract: A method of matching a first entity to a second entity by evaluating Boolean expressions includes identifying a set of criteria vertices for a second entity vertex by traversing a graph database in a manner constrained to fact vertices identified for the second entity. The graph database relates fact vertices to the criteria vertices by edges corresponding to Boolean expressions for satisfying criteria for matching first entities to second entities. The method additionally includes selecting one of the first entities based on the criteria vertices of the set. The method further includes matching the first entity to the second entity based on the selection.

Abstract: A method of matching a panelist to a market research project includes assigning, by one or more computer processors, priorities to quota cells. The method additionally includes accessing, by the one or more computer processors, a set of the prioritized quota cells identified for the panelist. The method also includes selecting, by the one or more computer processors, one of the quota cells based at least in part on the priorities. The method further includes matching, by the one or more computer processors, the panelist to the market research project based on the selected quota cell.

Abstract: System and method for optimizing composition of a pool from which members are selected to serve on market research panels are described. In one embodiment, the system includes a database comprising a plurality of member profiles and survey data associated with the members and a datamart for periodically scanning the database to discover events and subsequently logging each of the discovered events in an event log. The system further includes an offense module for periodically evaluating the event log to determine whether one of the discovered events comprises an offense committed by one of the members and logging the offense in an offense log and an audit module for performing an audit of the one of the members and logging results of the audit in an audit log.

Abstract: System and method for optimizing composition of a pool from which members are selected to serve on market research panels are described. In one embodiment, the system includes a database comprising a plurality of member profiles and survey data associated with the members and a datamart for periodically scanning the database to discover events and subsequently logging each of the discovered events in an event log. The system further includes an offense module for periodically evaluating the event log to determine whether one of the discovered events comprises an offense committed by one of the members and logging the offense in an offense log and an audit module for performing an audit of the one of the members and logging results of the audit in an audit log.