Transmission of information during ad click-through
Abstract
The transmission of information during ad click-through is disclosed. In one embodiment, a computer-implemented method selects an ad to be displayed on a web page, as one of a plurality of ads within a current cluster in which each of the ad has a probability to be selected. The method displays the ad on the web page, and then detects activation—for example, click-through—of the displayed ad. The method transmits information to an entity associated with the ad, such as an advertiser, upon detecting click-through or other activation of the ad. In one embodiment, the information transmitted includes information regarding the current cluster.
Claims
exact text as granted — not AI-modified1 - 20 . (canceled)
21 . A machine-readable medium comprising machine executable instructions for transmitting data during banner ad activation, including:
allocating a plurality of banner ads to a cluster, based at least in part on the plurality of banner ads, determining an ad to display for a set of web pages linked to the cluster, employing a pointing device to position a generated indicator over the determined ad; activating the determined ad to transport a user to one of the set of web pages; and transmitting data to an advertiser associated with the determined ad.
22 . The machine-readable medium of claim 21 , the cluster defined in order to maximize click through of the banner ads within the cluster.
23 . The machine-readable medium of claim 21 , the cluster defined in order to maximize activation of banner ads within the cluster.
24 . The machine-readable medium of claim 21 , the cluster defined using one of demographic information, web page browsing history, and user habit information.
25 . The machine-readable medium of claim 21 , the cluster defined using data supplied by advertisers, the data supplied includes a user purchasing decision.
26 . The machine-readable medium of claim 21 , the determining includes selecting the ad based at least in part on a selection probability.
27 . The machine-readable medium of claim 21 , the activating includes detecting clicking on the determined ad.
28 . A machine implemented method for effectuating communication of data during ad activation, comprising:
associating a display message that has a distinct selection probability with a current cluster; detecting activation of the display message; and based at least on the detecting, communicating data associated with the display message to an entity.
29 . The method of claim 28 , the current cluster is one of a plurality of clusters.
30 . The method of claim 29 , the plurality of clusters defined in order to maximize click through of the display message.
31 . The method of claim 29 , the plurality of clusters defined in order to maximize activation of the display message.
32 . The method of claim 29 , each cluster in the plurality of clusters based on information supplied by the entity.
33 . The method of claim 32 , the information includes at least demographic information and user habit information.
34 . The method of claim 28 , the entity comprises one of a vendor, an organization, and a business.
35 . A method for transmitting information during ad activation, comprising:
identifying and displaying an ad from a cluster of ads each ad associated with an ascertainable selection probability; and detecting activation of the identified and displayed ad and transmitting information to an associated entity.
36 . The method of claim 35 , the detecting activation includes transporting a user to a web page associated with the ad.
37 . The method of claim 35 , the entity includes at least one of a vendor, an organization, an advertiser, and a business.
38 . The method of claim 35 , the cluster of ads grouped to maximize click through of the identified and displayed ad.
39 . The method of claim 35 , the cluster of ads grouped to maximize activation of the identified and displayed ad.
40 . The method of claim 35 , the cluster of ads grouped according to information supplied by the entity that includes web page browsing history and user habit information.Join the waitlist — get patent alerts
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