Expansion of high performing placement criteria
Systems and methods of evaluating information in a computer network environment are provided. A data processing system can obtain or receive a content placement criterion, such as a keyword, associated with a content item and can determine a quality metric of the content placement criterion. The data processing system can identify a candidate content placement criterion and expand placement criteria associated with the content item to include the content placement criterion and the candidate content placement criterion based at least in part on an evaluation of the quality metric of the content placement criterion. The data processing system can expand placement criteria based in part on a throttling parameter. The data processing system can identify a correlation between a document and the placement criteria to identify appropriate content items for the document.
1. A computer-implemented method comprising:
obtaining, by a computing system, initial distribution criteria used to place content;
determining that the initial distribution criteria used to place the content is to be expanded; and
in response to determining that the initial distribution criteria used to place the content is to be expanded,
identifying multiple sets of similar distribution criteria that have been classified as being similar to the initial distribution criteria,
identifying, for each set of similar distribution criteria, a quality metric indicating a performance of the set of similar distribution criteria when the set of similar distribution criteria has been used to place other content different from the content, the other content being in a content group with the content,
selecting, from the sets of similar distribution criteria and based on the quality metric for each set of similar distribution criteria, one or more sets of similar distribution criteria, and
generating expanded distribution criteria by expanding the initial distribution criteria used to place the content to include the initial distribution criteria and the one or more sets of similar distribution criteria.
2. The computer-implemented method of claim 1 , wherein selecting the one or more sets of similar distribution criteria comprises selecting the one or more sets of similar distribution criteria based on a performance objective for the content.
3. The computer-implemented method of claim 2 , wherein selecting the one or more sets of similar distribution criteria comprises determining that the quality metric for each of the one or more sets of similar distribution criteria improves the performance objective for the content.
4. The computer-implemented method of claim 2 , wherein the performance objective comprises a user interaction rate.
5. The computer-implemented method of claim 1 , wherein the quality metric for each set of similar distribution criteria comprises a historical performance of the set of similar distribution criteria.
6. The computer-implemented method of claim 1 , wherein the quality metric for each set of similar distribution criteria comprises a click-through rate of the set of similar distribution criteria.
7. The computer-implemented method of claim 1 , wherein identifying multiple sets of similar distribution criteria that has been classified as being similar to the initial distribution criteria comprises selecting the multiple sets of similar distribution criteria from a group of selection criteria that includes the initial distribution criteria, the multiple sets of similar distribution criteria, and additional sets of distribution criteria.
8. The computer-implemented method of claim 1 , wherein at least one set of similar distribution criteria comprises one or more keywords.
9. A system comprising:
a data processing system having a content placement module on one or more processors;
a memory storing instructions that, when executed by the one or more processors, cause the data processing system to perform operations comprising:
obtaining, by a computing system, initial distribution criteria used to place content;
determining that the initial distribution criteria used to place the content is to be expanded; and
in response to determining that the initial distribution criteria used to place the content is to be expanded,
identifying multiple sets of similar distribution criteria that has been classified as being similar to the initial distribution criteria,
identifying, for each set of similar distribution criteria, a quality metric indicating a performance of the set of similar distribution criteria when the set of similar distribution criteria has been used to place other content different from the content, the other content being in a content group with the content,
selecting, from the sets of similar distribution criteria and based on the quality metric for each set of similar distribution criteria, one or more sets of similar distribution criteria, and
generating expanded distribution criteria by expanding the initial distribution criteria used to place the content to include the initial distribution criteria and the one or more sets of similar distribution criteria.
10. The system of claim 9 , wherein selecting the one or more sets of similar distribution criteria comprises selecting the one or more sets of similar distribution criteria based on a performance objective for the content.
11. The system of claim 10 , wherein selecting the one or more sets of similar distribution criteria comprises determining that the quality metric for each of the one or more sets of similar distribution criteria improves the performance objective for the content.
12. The system of claim 10 , wherein the performance objective comprises a user interaction rate.
13. The system of claim 9 , wherein the quality metric for each set of similar distribution criteria comprises a historical performance of the set of similar distribution criteria.
14. The system of claim 9 , wherein the quality metric for each set of similar distribution criteria comprises a click-through rate of the set of similar distribution criteria.
15. The system of claim 9 , wherein identifying multiple sets of similar distribution criteria that has been classified as being similar to the initial distribution criteria comprises selecting the multiple sets of similar distribution criteria from a group of selection criteria that includes the initial distribution criteria, the multiple sets of similar distribution criteria, and additional sets of distribution criteria.
16. The system of claim 9 , wherein at least one set of similar distribution criteria comprises one or more keywords.
17. A computer readable storage medium having instructions stored thereon, the instructions comprising instructions that, when executed by one or more computers, cause the one or more computers to perform operations comprising:
obtaining, by a computing system, initial distribution criteria used to place content;
determining that the initial distribution criteria used to place the content is to be expanded; and
in response to determining that the initial distribution criteria used to place the content is to be expanded,
identifying multiple sets of similar distribution criteria that has been classified as being similar to the initial distribution criteria,
identifying, for each set of similar distribution criteria, a quality metric indicating a performance of the set of similar distribution criteria when the set of similar distribution criteria has been used to place other content different from the content, the other content being in a content group with the content,
selecting, from the sets of similar distribution criteria and based on the quality metric for each set of similar distribution criteria, one or more sets of similar distribution criteria, and
generating expanded distribution criteria by expanding the initial distribution criteria used to place the content to include the initial distribution criteria and the one or more sets of similar distribution criteria.
18. The computer readable storage medium of claim 17 , wherein selecting the one or more sets of similar distribution criteria comprises selecting the one or more sets of similar distribution criteria based on a performance objective for the content.
19. The computer readable storage medium of claim 18 , wherein selecting the one or more sets of similar distribution criteria comprises determining that the quality metric for each of the one or more sets of similar distribution criteria improves the performance objective for the content.
20. The computer readable storage medium of claim 18 , wherein the performance objective comprises a user interaction rate.