Learning user interface
Provided herein are method, apparatus, and computer program products for facilitating a learning user interface. The interface may be presented as a plurality of dynamic icons representing a plurality of items. The plurality of dynamic icons may include at least one suggested dynamic icon representing at least one suggested item of the plurality of items and at least one secondary dynamic icon representing a secondary item of the plurality of items. The interface may be facilitated by determining, via a processor, a visual bias for the at least one suggested dynamic icon relative to the at least one secondary dynamic icon. The interface may be facilitated by applying the visual bias, via the interface, to the at least one suggested dynamic icon.
1 . A method comprising:
presenting, via an interface, a plurality of dynamic icons representing a plurality of items, wherein the plurality of dynamic icons comprises at least one suggested dynamic icon representing at least one suggested item of the plurality of items and at least one secondary dynamic icon representing a secondary item of the plurality of items;
determining, via a processor and based on transaction data corresponding to the plurality of items and a user of the interface, a first relevancy score corresponding to the at least one suggested item and a second relevancy score corresponding to the secondary item;
determining, via the processor and based on the first relevancy score and the second relevancy score, whether the at least one suggested item has a higher relevance to the user of the interface than the secondary item;
responsive to determining that the at least one suggested item has a higher relevance to the user of the interface than the secondary item, determining, via the processor, a visual bias for the at least one suggested dynamic icon relative to the at least one secondary dynamic icon;
applying the visual bias, via the interface, to the at least one suggested dynamic icon; and
responsive to determining that the at least one suggested item has the higher relevance to the user of the interface than the secondary item, applying a visual update, via the interface, to the at least one secondary dynamic icon.
2 . The method of claim 1 , wherein applying the visual bias to the at least one suggested dynamic icon comprises varying a common feature shared between the at least one suggested dynamic icon and the at least one secondary dynamic icon.
3 . The method of claim 1 , wherein applying the visual bias to the at least one suggested dynamic icon comprises varying a border of the at least one suggested dynamic icon relative to the at least one secondary dynamic icon.
4 . The method of claim 1 , wherein determining the visual bias comprises:
accessing a first quantity of customers corresponding to the at least one suggested item and a second quantity of customers corresponding to the secondary item,
wherein the at least one suggested dynamic icon is visually biased relative to the at least one secondary dynamic icon based a comparison of a first revenue corresponding to the at least one suggested item and a second revenue corresponding to the secondary item.
5 . The method of claim 1 , further comprising:
receiving a selection indication associated with one of the plurality of dynamic icons; and
updating, via the interface, the present transaction item listing based on the selection indication.
6 . The method of claim 1 , wherein the first relevancy score and the second relevancy score are based on environmental data.
7 . The method of claim 6 , wherein the environmental data comprises at least one of a time of day, time of year, weather, and location.
8 . The method of claim 1 , further comprising:
presenting a plurality of dynamic category icons including a first dynamic category icon and a second dynamic category icon, wherein each of the plurality of dynamic category icons represents a portion of the plurality of dynamic icons representing the plurality of items;
determining a visual bias for the first dynamic category icon relative to the second dynamic category icon based on the first relevancy score and the second relevancy score; and
applying the visual bias to the first dynamic category icon.
9 . The method of claim 1 , further comprising:
presenting a plurality of modifier dynamic icons in response to a selection indication of the at least one suggested dynamic icon.
10 . An apparatus is provided comprising at least a processor, and a memory associated with the processor having computer coded instructions therein, with the computer coded instructions configured to, when executed by the processor, cause the apparatus to:
present, via an interface, a plurality of dynamic icons representing a plurality of items, wherein the plurality of dynamic icons comprises at least one suggested dynamic icon representing at least one suggested item of the plurality of items and at least one secondary dynamic icon representing a secondary item of the plurality of items;
determine, via a processor and based on transaction data corresponding to the plurality of items and a user of the interface, a first relevancy score corresponding to the at least one suggested item and a second relevancy score corresponding to the secondary item;
determine, via the processor and based on the first relevancy score and the second relevancy score, whether the at least one suggested item has a higher relevance to the user of the interface than the secondary item;
responsive to determining that the at least one suggested item has a higher relevance to the user of the interface than the secondary item, determine, via the processor, a visual bias for the at least one suggested dynamic icon relative to the at least one secondary dynamic icon;
apply the visual bias, via the interface, to the at least one suggested dynamic icon; and
responsive to determining that the at least one suggested item has the higher relevance to the user of the interface than the secondary item, applying a visual update, via the interface, to the at least one secondary dynamic icon.
11 . The apparatus of claim 10 , wherein applying the visual bias to the at least one suggested dynamic icon comprises varying a common feature shared between the at least one suggested dynamic icon and the at least one secondary dynamic icon.
12 . The apparatus of claim 10 , wherein applying the visual bias to the at least one suggested dynamic icon comprises varying a border of the at least one suggested dynamic icon relative to the at least one secondary dynamic icon.
13 . The apparatus of claim 10 , wherein determining the visual bias comprises:
accessing a first quantity of customers corresponding to the at least one suggested item and a second quantity of customers corresponding to the secondary item,
wherein the at least one suggested dynamic icon is visually biased relative to the at least one secondary dynamic icon based a comparison of a first revenue corresponding to the at least one suggested item and a second revenue corresponding to the secondary item.
14 . The apparatus of claim 10 , wherein the first relevancy score and the second relevancy score are based on a user selected criteria.
15 . The apparatus of claim 10 , wherein the first relevancy score and the second relevancy score are based on environmental data.
16 . A computer program product is provided comprising a non-transitory computer readable medium having computer program instructions stored therein, said computer program instructions configured to, when executed by a processor, cause the processor to execute operations comprising:
presenting, via an interface, a plurality of dynamic icons representing a plurality of items, wherein the plurality of dynamic icons comprises at least one suggested dynamic icon representing at least one suggested item of the plurality of items and at least one secondary dynamic icon representing a secondary item of the plurality of items;
determining, via a processor and based on transaction data corresponding to the plurality of items and a user of the interface, a first relevancy score corresponding to the at least one suggested item and a second relevancy score corresponding to the secondary item;
determining, via the processor and based on the first relevancy score and the second relevancy score, whether the at least one suggested item has a higher relevance to the user of the interface than the secondary item;
responsive to determining that the at least one suggested item has a higher relevance to the user of the interface than the secondary item, determining, via a processor, a visual bias for the at least one suggested dynamic icon relative to the at least one secondary dynamic icon;
applying the visual bias, via the interface, to the at least one suggested dynamic icon; and
responsive to determining that the at least one suggested item has the higher relevance to the user of the interface than the secondary item, applying a visual update, via the interface, to the at least one secondary dynamic icon.