Abstract: A computer-implemented method for generating a proposed bid includes receiving an input generated by a first content provider as part of a bidding process where content providers bid for opportunities to provide content for publication. The input indicates (i) a resource for publishing first content from the first content provider and (ii) a campaign characteristic associated with the first content. The method includes determining a proposed bid for the first content provider based on the input and on historical data from the bidding process associated with the resource. The method includes presenting the proposed bid to the first content provider.

Abstract: A computer-implemented method for generating a proposed bid includes receiving an input generated by a first content provider as part of a bidding process where content providers bid for opportunities to provide content for publication. The input indicates (i) a resource for publishing first content from the first content provider and (ii) a campaign characteristic associated with the first content. The method includes determining a proposed bid for the first content provider based on the input and on historical data from the bidding process associated with the resource. The method includes presenting the proposed bid to the first content provider.

Abstract: A computer-implemented method for generating a proposed bid includes receiving an input generated by a first content provider as part of a bidding process where content providers bid for opportunities to provide content for publication. The input indicates (i) a resource for publishing first content from the first content provider and (ii) a campaign characteristic associated with the first content. The method includes determining a proposed bid for the first content provider based on the input and on historical data from the bidding process associated with the resource. The method includes presenting the proposed bid to the first content provider.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for collecting and applying visibility statistics in online advertising are disclosed. Ad block visibility data relating to initial visibility characteristics and subsequent visibility characteristics of ad blocks on webpages are collected from a sample of browser sessions and aggregated to provide a representative historical view of ad block visibility characteristics on those webpages. The collected visibility data are used to build a predictive model of ad block visibility characteristics for future sessions. Ad selection can be based on the predicted visibility characteristics for ad blocks on a webpage as rendered on a particular requesting client device. Ad targeting and pricing can be specified in terms of predicted visibility characteristics of ad blocks.

Abstract: A computer-implemented method for generating a proposed bid includes receiving an input generated by a first content provider as part of a bidding process where content providers bid for opportunities to provide content for publication. The input indicates (i) a resource for publishing first content from the first content provider and (ii) a campaign characteristic associated with the first content. The method includes determining a proposed bid for the first content provider based on the input and on historical data from the bidding process associated with the resource. The method includes presenting the proposed bid to the first content provider.

Abstract: A computer-implemented method for generating a proposed bid includes receiving an input generated by a first content provider as part of a bidding process where content providers bid for opportunities to provide content for publication. The input indicates (i) a resource for publishing first content from the first content provider and (ii) a campaign characteristic associated with the first content. The method includes determining a proposed bid for the first content provider based on the input and on historical data from the bidding process associated with the resource. The method includes presenting the proposed bid to the first content provider.

Abstract: A computer-implemented method for proposing a value to a user includes mapping a plurality of factual cost values for an item type according to amount, each of the factual cost values reflecting an amount that won a bidding process for an item of the item type. The method includes identifying an inflection point in the mapping that represents a first factual cost value. The method includes outputting a proposed value for the bidding process to a user, the proposed value generated using the first factual cost value. The method can be implemented using a computer program product.

Abstract: A system includes multiple logging units, an aggregating unit, and an evaluation unit. The logging unit logs traffic attributes associated with network traffic received at multiple network nodes and generates traffic signatures using the received attributes. The aggregating unit aggregates the traffic signatures generated at the multiple logging units. The evaluating unit determines relationships among the network traffic or between the plurality of network nodes using the aggregated traffic signatures.