US 2011/0035272 A1Published application

Feature-value recommendations for advertisement campaign performance improvement

AssigneeYahoo! Inc.

InventorsRushi P. Bhatt, Vijay Krishna Narayanan, Rajesh Parekh, Xia Wan

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Abstract

A method for making recommendations to improve advertisement campaign performance includes receiving a seed campaign insertion order (IO) having one or more campaign IO lines; computing a plurality of neighbor ad campaigns based on a comparison of the seed campaign IO with a dataset of advertiser ad campaign IO lines; generating campaign IO recommendations by executing an algorithm to recommend a campaign feature and value (FV) as a change to a line of the seed campaign IO based on success of such use by the neighbor ad campaigns; ranking the FV recommendations based on at least one performance metric; filtering the FV recommendations based on a plurality of performance-enhancing criteria of the seed campaign IO and the neighbor ad campaigns with respect to individual FV recommendations; and displaying the ranked FV recommendations to the advertiser for selection.

Claims25

Dependent claims

An advertisement campaign performance improvement recommendation system comprising:

a server having a processor and system memory, wherein to improve performance of the seed campaign IO, the processor is configured to:
(a) receive a seed campaign insertion order (IO) that includes one or more campaign IO lines of an advertiser;
(b) compute a plurality of neighbor advertisement (ad) campaigns based on a comparison of the seed campaign IO with a dataset of advertiser ad campaigns IO lines by (i) processing campaign booking and performance information associated with ad campaigns previously booked by a publisher, and (ii) applying thereto a statistical document clustering technique;
(c) generate campaign IO recommendations by executing an algorithm to recommend a campaign feature and value (FV) as a change to a line of the seed campaign IO based on success of such use by the neighbor ad campaigns;
(d) rank the FV recommendations based on a performance metric;
(e) filter the FV recommendations based on a plurality of performance-enhancing criteria of the seed campaign IO and the neighbor ad campaigns with respect to individual FV recommendations;
and
(f) display the ranked FV recommendations to the advertiser for selection.

5 more elements

A computer-implemented method for advertisement campaign performance improvement comprising:

(a) receiving, by a server from an advertiser, a seed campaign insertion order (IO) having one or more campaign IO lines;
(b) computing, by a processor coupled with the server, a plurality of neighbor advertisement (ad) campaigns based on comparison of the seed campaign IO with a dataset of advertiser ad campaign IO lines by (i) processing campaign booking and performance information associated with ad campaigns previously booked by a publisher, and (ii) applying thereto a statistical document clustering technique;
(c) generating, by the processor, campaign IO recommendations by executing an algorithm to recommend a campaign feature and value (FV) as a change to a line of the seed campaign IO based on success of such use by the neighbor ad campaigns;
(d) ranking, by the processor, the FV recommendations based on a performance metric;
(e) filtering, by the processor, the FV recommendations based on a plurality of performance-enhancing criteria of the seed campaign IO and the neighbor ad campaigns with respect to individual FV recommendations;
and
(f) displaying, by the processor, the ranked FV recommendations to the advertiser for selection.

4 more elements

A computer-readable storage medium comprising a set of instructions, the set of instructions to direct a processor to perform the acts of:

(a) receiving, by a server from an advertiser, a seed campaign insertion order (IO) having one or more campaign IO lines;
(b) computing, by a processor coupled with the server, a plurality of neighbor advertisement (ad) campaigns based on comparison of the seed campaign IO with a dataset of advertiser ad campaign IO lines by (i) processing campaign booking and performance information associated with ad campaigns previously booked by a publisher, and (ii) applying thereto a statistical document clustering technique;
(c) generating, by the processor, campaign IO recommendations by executing an algorithm to recommend a campaign feature and value (FV) as a change to a line of the seed campaign IO based on success of such use by the neighbor ad campaigns;
(d) ranking, by the processor, the FV recommendations based on a performance metric;
(e) filtering, by the processor, the FV recommendations based on a plurality of performance-enhancing criteria of the seed campaign IO and the neighbor ad campaigns with respect to individual FV recommendations;
and
(f) displaying, by the processor, the ranked FV recommendations to the advertiser for selection.

4 more elements

Dependencies are inferred from the claim text.