Ensemble Generation System for Retail Marketing
A method for presenting related products to a user includes providing product association data derived at least partially from at least one of traffic-based links and expert curated links. A product ensemble can be generated from the product association data. The generated product ensembles can be scored for compatibility and highly scored ensembles recommended to a user.
1 . A method for presenting related products to a user, the method comprising the steps of:
providing product association data derived at least partially from at least one of traffic-based links and expert curated links;
generating a product ensemble from the product association data;
compatibility scoring the generated product ensembles; and
recommending highly scored ensembles to a user.
2 . The method of claim 1 , wherein the step of compatibility scoring uses visual compatibility measures.
3 . The method of claim 1 , wherein the step of compatibility scoring uses non-visual compatibility measures.
4 . The method of claim 1 , wherein the step of compatibility scoring is based at least in part on pointwise mutual information techniques.
5 . The method of claim 1 , wherein the step of compatibility scoring is based at least in part on color compatibility.
6 . The method of claim 1 , wherein the step of compatibility scoring is based at least in part on pattern compatibility.
7 . The method of claim 1 , wherein the step of compatibility scoring is based at least in part on category compatibility.
8 . The method of claim 1 , wherein the step of compatibility scoring is based at least in part on style compatibility.
9 . The method of claim 1 , wherein the step of compatibility scoring is based at least in part on occasion compatibility.
10 . The method of claim 1 , wherein the step of compatibility scoring is based at least in part on brand compatibility.
11 . The method of claim 1 , wherein the step of compatibility scoring is based at least in part on price compatibility.
12 . The method of claim 1 , wherein the step of compatibility scoring is based at least in part on personalized scoring boost based on user data.
13 . A system for presenting related products to a user, the system comprising:
a product association module able to provide data derived at least partially from at least one of traffic-based links and expert curated links and determine a product ensemble from the product association data;
a compatibility scoring module able to determine compatibility scores from the generated product ensembles of the product association module; and
a recommendation module for recommending highly scored ensembles to a user based on the determined compatibility scores.
14 . The system of claim 13 , wherein compatibility scoring uses visual compatibility measures.
15 . The system of claim 13 , wherein compatibility scoring uses non-visual compatibility measures.
16 . The system of claim 13 , wherein compatibility scoring is based at least in part on pointwise mutual information techniques.
17 . The system of claim 13 , wherein compatibility scoring is based at least in part on color compatibility or pattern compatibility.
18 . The system of claim 13 , wherein compatibility scoring is based at least in part on category compatibility, style compatibility, occasion compatibility, or brand compatibility.
19 . The system of claim 13 , wherein compatibility scoring is based at least in part on price compatibility.
20 . The system of claim 13 , wherein compatibility scoring is based at least in part on personalized scoring boost based on user data.