METHOD AND APPARATUS FOR REPLACING AN ADVERTISEMENT
A method and apparatus ( 100 ) for replacing an advertisement is described. A negative input regarding a current advertisement is received (step 200 ). At least one feature of the current advertisement is identified which is hypothezied to have caused the received negative input (step 204 ). A new advertisement that differs to the current advertisement in respect of the identified at last one feature is selected )step 210 ). The current advertisement is replaced with the selected new advertisement (step 212 ).
1 . A method for rendering an advertisement, the method being executed by an apparatus that comprises a user interface and a processor, the method comprising:
receiving, via the user interface, a negative input regarding a current advertisement;
identifying at least one feature of the current advertisement to have caused the received negative input;
selecting a new advertisement that differs from the current advertisement in respect of the identified at least one feature; and
replacing by the lrocessor, the current advertisement with the selected new advertisement.
2 . The method according to claim 1 , further comprising replacing the advertisement similar to the current advertisement with another new advertisement.
3 . The method according to claim 1 , further comprising rendering advertisements that do not include the identified at least one feature.
4 . The method according to claim 1 , wherein the negative input is one of an instruction to remove the current advertisement, an indication that the user dislikes the current advertisement or a rating of the current advertisement that is below a predetermined value.
5 . (canceled)
6 . The method according to claim 1 , wherein the identifying at comprises identifying at least one feature of the current advertisement which is hypothesized to have caused the received negative input based on at least one of a user profile and discriminative power of the at least one feature.
7 . The method according to claim 1 , further comprising maintaining a record of advertisements that have received a negative input and features associated with the advertisements and, for each feature, an indication as to whether it is hypothesized to have caused the received negative input.
8 . The method according to claim 7 , further comprising using the record of advertisements that have received the a--negative input and features associated with the advertisements and, for each feature, the indication as to whether it is hypothesized to have caused the received negative input to update a user profile.
9 . The method according to claim 7 , further comprising receiving a positive input regarding a current advertisement and updating the record according to the received positive input.
10 . The A method according to claim 1 , wherein the a comprises selecting a new advertisement having the identified at least one feature most different from the identified at least one feature of the current advertisement.
11 . (canceled)
12 . A non-transitory computer program product comprising a plurality of program code portions for causing a computer to carry out the method according to claim 1 .
13 . An apparatus for redering an advertisement, configured to replace a current advertisement, the apparatus comprising:
a user interface for receiving a negative input regarding the current advertisement;
an identifier for identifying at least one feature of the current advertisement to have caused the received negative input;
a selector for selecting a new advertisement that differs from the current advertisement in respect of the identified at least one feature; and
a processor for replacing the current advertisement with the selected new advertisement.
14 . The apparatus according to claim 13 , further comprising a rendering device for rendering advertisements that do not include at least the identified at least one feature.
15 . (canceled)
16 . The method according to claim 1 , further comprising calculating a like-degree for the new advertisement based on a user profile, calculating a product between the like-degree calculated for the new advertisement and a measure of dissimilarity between the new advertisement and the current advertisement, and selecting the new advertisement having the highest product.
17 . The method according to claim 1 , further comprising a value of an attribute of the current advertisement as the feature that is hypothesized to have caused the received negative input, and selecting the new advertisement that has a different value for the attribute.
18 . The apparatus according to claim 13 , wherein the selector is configured to calculate a like-degree for the new advertisement based on a user profile, to calculate a product between the like-degree calculated for the new advertisement and a measure of dissimilarity between the new advertisement and the current advertisement, and to select the new advertisement having the highest product.