Abstract: Systems and methods for automatically computing biddings for cold items are disclosed. A first bid value is computed and submitted for a first bidding for a first set of items each having a predicted sales metric larger than a first threshold in a first time period. From the first set of items, a second set of items are selected that have a traffic metric smaller than a second threshold in a second time period. Each item in the second set is assigned to one of a plurality of clusters. A second bid value is computed for each cluster based on cluster-level metrics and a click distribution among the plurality of clusters. An updated bid value is computed, for each item in the second set, to be submitted for a second bidding, based on the second bid value for a cluster to which the item is assigned.

Abstract: Strata surfaces can be identified in well logs and correlated across the well logs taking into account manual corrections. For example, a computing device can receive well logs. The computing device can determine multiple stratum-surface correlations based on the well logs. Then, the computing device can receive user input indicating a correction to a particular stratum-surface correlation. Based on the correction to the particular stratum-surface correlation, the computing device can update some or all of the other stratum-surface correlations.

Abstract: Well logs can be automatically correlated using dynamic warping with descriptors. For example, a computing device can receive user input indicating a manual correlation between a first node in a first well-log and a second node in a second well-log. The computing device can use the manual correlation to automatically determine a combination of descriptors usable to correlate the first node to the second node. The computing device can then perform dynamic warping on other well logs using the combination of descriptors determined by using the first well log and the second well log. This may provide more accurate correlations between well logs.

Abstract: Strata surfaces can be identified in well logs and correlated across the well logs taking into account manual corrections. For example, a computing device can receive well logs. The computing device can determine multiple stratum-surface correlations based on the well logs. Then, the computing device can receive user input indicating a correction to a particular stratum-surface correlation. Based on the correction to the particular stratum-surface correlation, the computing device can update some or all of the other stratum-surface correlations.

Abstract: Well logs can be automatically correlated using dynamic warping with descriptors. For example, a computing device can receive user input indicating a manual correlation between a first node in a first well-log and a second node in a second well-log. The computing device can use the manual correlation to automatically determine a combination of descriptors usable to correlate the first node to the second node. The computing device can then perform dynamic warping on other well logs using the combination of descriptors determined by using the first well log and the second well log. This may provide more accurate correlations between well logs.