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.

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.

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.