from user actions, actions like
purchased-together/shopping cart purchases, watchlists etc.
i = an item-set vector for a specific user
B:
itemSetID, items
1, iPad:iPad-case,stylus
2, iPad:battery-booster:iPad-case
[B’B]i = r_i, right?
[B’B] would be an item-item cooccurrence similarity
of
things. The first action is insertion into a cart and the second is
purchase of an item.
On Thu, Feb 14, 2013 at 9:53 AM, Pat Ferrel pat.fer...@gmail.com
wrote:
There are several methods for recommending things given a shopping cart
contents. At the risk of using the same tool
There are several methods for recommending things given a shopping cart
contents. At the risk of using the same tool for every problem I was thinking
about a recommender's use here.
I'd do something like train on shopping cart purchases so row = cartID, column
= itemID.
Given cart contents I
is
purchase of an item.
On Thu, Feb 14, 2013 at 9:53 AM, Pat Ferrel pat.fer...@gmail.com wrote:
There are several methods for recommending things given a shopping cart
contents. At the risk of using the same tool for every problem I was
thinking about a recommender's use here.
I'd do something like
14, 2013 at 9:53 AM, Pat Ferrel pat.fer...@gmail.com wrote:
There are several methods for recommending things given a shopping cart
contents. At the risk of using the same tool for every problem I was
thinking about a recommender's use here.
I'd do something like train on shopping cart
at 9:53 AM, Pat Ferrel pat.fer...@gmail.com wrote:
There are several methods for recommending things given a shopping cart
contents. At the risk of using the same tool for every problem I was
thinking about a recommender's use here.
I'd do something like train on shopping cart purchases
for recommending things given a shopping cart
contents. At the risk of using the same tool for every problem I was
thinking about a recommender's use here.
I'd do something like train on shopping cart purchases so row = cartID,
column = itemID.
Given cart contents I could find the most similar cart
14, 2013 at 9:53 AM, Pat Ferrel pat.fer...@gmail.com
wrote:
There are several methods for recommending things given a shopping cart
contents. At the risk of using the same tool for every problem I was
thinking about a recommender's use here.
I'd do something like train on shopping cart
:
There are several methods for recommending things given a shopping cart
contents. At the risk of using the same tool for every problem I was
thinking about a recommender's use here.
I'd do something like train on shopping cart purchases so row = cartID,
column = itemID.
Given cart contents I could find
is
purchase of an item.
On Thu, Feb 14, 2013 at 9:53 AM, Pat Ferrel pat.fer...@gmail.com
wrote:
There are several methods for recommending things given a shopping cart
contents. At the risk of using the same tool for every problem I was
thinking about a recommender's use here.
I'd do
things given a shopping cart
contents. At the risk of using the same tool for every problem I was
thinking about a recommender's use here.
I'd do something like train on shopping cart purchases so row = cartID,
column = itemID.
Given cart contents I could find the most similar cart
wrote:
There are several methods for recommending things given a shopping cart
contents. At the risk of using the same tool for every problem I was
thinking about a recommender's use here.
I'd do something like train on shopping cart purchases so row = cartID,
column = itemID.
Given cart
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