Thanks,Sean,I think you are right. On Tue, Sep 21, 2010 at 4:24 PM, Sean Owen <[email protected]> wrote:
> What you need is a IDRescorer. Use any Recommender you like, but, pass in a > IDRescorer object too which will boost a recommended item's score if it is > more similar to some target item. For example I might simply multiply by > that similarity score. This should achieve your desired effect. > > On Tue, Sep 21, 2010 at 3:18 AM, Sam Yang <[email protected]> wrote: > > > Thanks,I mean,for one user,on every item detail page,see different > > recommendations,and these recommendations are computed by the user and > the > > item. > > > > I'm recommending for users on a store,when a user login,I can compute the > > recommendations for him with item-based recommender,these recommendations > > will be shown on product detail page. > > But I think the recommendations on every page will be same,so can the > > recommendations been computed by the current product? > > > > On Mon, Sep 20, 2010 at 11:34 PM, Sebastian Schelter <[email protected]> > > wrote: > > > > > Sam, > > > > > > can you provide an example and a little more details about your data > and > > > the implementations you use? > > > > > > --sebastian > > > > > > Am 20.09.2010 17:28, schrieb Sam Yang: > > > > All: > > > > When I use Item-based recommender to do recommendation for user,but > for > > > each > > > > item,the recommendations are same. > > > > Is there some way to return different recommendations for different > > item? > > > > > > > > And,my story is when one user loggined, show recommendations on item > > > detail > > > > page,can these recommendations are different for each item? > > > > > > > > > > > > > > > > > > > > -- > > I'm samsam. > > > -- I'm samsam.
