Method for image product recommendation
Embodiments of the present disclosure a method for determining product relevancy including extracting metadata from an image file of a digital image collection, the metadata being indicative of at least one feature of the image file. The method includes creating an input profile corresponding to the metadata extracted from the image files of the digital image collection. The method includes comparing the input profile to a product profile, the product profile having one or more rules corresponding to a consumer product, wherein the rules are indicative of the requirements of the product. The method includes determining a match score, the match score indicative of a relevancy of the product profile to the input profile such that a high relevancy correlates to a consumer product that is suited to the input profile and a low relevancy correlates to the consumer product that is not suited to the input profile.
1 . A method for creating a consumer photo product recommendation, comprising:
receiving, at an image processing unit, one or more digital image and/or video files from a user;
receiving, at a server, the one or more digital image and/or video files from the image processing unit, wherein the server is in communication with the image processing unit;
extracting recorded metadata and derived metadata from the one or more digital image and/or video files to produce image profiles, wherein the derived metadata comprises an analysis of pixels of the one or more digital image and/or video files, and wherein the analysis of pixels generates face-based metadata or content-based metadata;
utilizing user inputs to form at least a portion of the image profiles;
analyzing social media or appointment calendars of the user to determine at least one of upcoming events and cultural considerations;
comparing, using one or more processors at the server, product profiles stored on one or more memories of the server to the image profiles and the at least one of upcoming events and cultural considerations using rules that comprise, at least in part, Boolean statements;
using a weighing system to determine whether to add points or to subtract points to determine consumer products associated with the product profiles based on the rules used in the comparison; and
sending or receiving, via the server, consumer products associated with the product profiles to the user computer device.
2 . The method of claim 1 , wherein the recorded metadata comprises time and date metadata and location metadata.
3 . The method of claim 2 , wherein the time and data metadata and the location metadata are used to derive event-based metadata.
4 . The method of claim 1 , further comprising:
normalizing the weighing system prior to comparing the product profiles.
5 . The method of claim 1 , further comprising:
arranging the one or more digital image and/or video files into one or more relational databases of the image profiles correlated to an input profile.
6 . The method of claim 1 , further comprising:
determining a match score from the weighing system, wherein the match score represents the relevance of the product profile to the one or more digital image and/or video files.
7 . The method of claim 6 , further comprising:
comparing the match score to a threshold match score to determine relevant product profiles when the match score is greater than the threshold match score.
8 . The method of claim 1 , wherein the determination of whether to add points or to subtract points varies an amount of points to be added or subtracted based on an importance of the rule to the product profile.
9 . The method of claim 1 , wherein the rules weigh features comprising content-based features, time-based features, face-based features, or event-based features.
10 . The method of claim 1 , wherein the consumer products comprise a card, a coffee cup, a photo book, or a slide show.
11 . The method of claim 1 , wherein the one or more digital image and/or video files are received from the social media being analyzed.
12 . The method of claim 1 , wherein the rules including Boolean statements are evaluated sequentially for each of the product profiles.
13 . The method of claim 1 , wherein recorded metadata is more strongly weighted than derived metadata, or wherein derived metadata is more strongly weighted than derived metadata.
14 . The method of claim 1 , wherein user generated tags received from the social media are used to determine event-based metadata.
15 . The method of claim 1 , wherein an amount of the one or more digital image and/or video files is used for determining product profiles.
16 . The method of claim 1 , wherein the Boolean statements return values of TRUE or FALSE for each rule.