What you want is a recommender that is based mostly on the item with a small admixture of the user history. Essentially, it is a user recommendation with a very bit weight on the current item.
On Mon, Sep 20, 2010 at 7:34 PM, Sam Yang <[email protected]> wrote: > Here is Item-based Recommender Example: > ===== > public class ItemBasedRecommender implements Recommender { > > private final Recommender recommender; > > public ItemBasedRecommender() throws IOException, TasteException { > this(new MovieDataModel()); > } > > public ItemBasedRecommender(DataModel dataModel) throws TasteException { > > Collection<GenericItemSimilarity.ItemItemSimilarity> correlations = > MovieSimilarityTable.getAllMovieSimilarities(); > ItemSimilarity itemSimilarity = new > GenericItemSimilarity(correlations); > recommender = new CachingRecommender(new > EmbededItemBasedRecommender( > new GenericItemBasedRecommender(dataModel, itemSimilarity))); > } > > public List<RecommendedItem> recommend(long userID, int howMany) > throws TasteException { > return recommender.recommend(userID, howMany); > } > > ......... > > //EmbededItemBasedRecommender类的定义 > private static final class EmbededItemBasedRecommender implements > Recommender { > > //包含一个GenericItemBasedRecommender实例； > private final GenericItemBasedRecommender recommender; > > private EmbededItemBasedRecommender(GenericItemBasedRecommender > recommender) { > this.recommender = recommender; > } > > public List<RecommendedItem> recommend(long userID, int howMany, > Rescorer<Long> rescorer) > throws TasteException { > FastIDSet itemIDs = > recommender.getDataModel().getItemIDsFromUser(userID); > return recommender.mostSimilarItems(itemIDs.toArray(), howMany, > null); > } > > ........ > > } > ====== > The parameters of recommend method are userID and howMany,not include > itemID,so I think for one user and every item,the recommendations are same. > > 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. >
