Uses of Class
net.myrrix.web.servlets.AbstractMyrrixServlet

Packages that use AbstractMyrrixServlet

net.myrrix.web.servlets

Uses of AbstractMyrrixServlet in net.myrrix.web.servlets

Subclasses of AbstractMyrrixServlet in net.myrrix.web.servlets

class	AbstractAllIDsServlet Responds to a GET request to /user/allIDs or /item/allIDs, and in turn calls MyrrixRecommender.getAllUserIDs() or MyrrixRecommender.getAllItemIDs(), depending on AbstractAllIDsServlet.isUserIDs().
class	AllItemIDsServlet
class	AllUserIDsServlet
class	BecauseServlet Responds to a GET request to /because/[userID]/[itemID]?howMany=n, and in turn calls ItemBasedRecommender.recommendedBecause(long, long, int).
class	EstimateServlet Responds to a GET request to /estimate/[userID]/[itemID] and in turn calls Recommender.estimatePreference(long, long).
class	IngestServlet Responds to a POST request to /ingest and in turn calls MyrrixRecommender.ingest(java.io.Reader)}.
class	PreferenceServlet Responds to a POST request to /pref/[userID]/[itemID] and in turn calls MyrrixRecommender.setPreference(long, long, float).
class	ReadyServlet Responds to a HEAD request to /ready and in turn calls MyrrixRecommender.isReady().
class	RecommendServlet Responds to a GET request to /recommend/[userID](?howMany=n)(&considerKnownItems=true|false)(&rescorerParams=...) and in turn calls Recommender.recommend(long, int).
class	RecommendToAnonymousServlet Responds to a GET request to /recommendToAnonymous/[itemID1](/[itemID2]/...)?howMany=n, and in turn calls MyrrixRecommender.recommendToAnonymous(long[], int) with the supplied values.
class	RecommendToManyServlet Responds to a GET request to /recommendToMany/[userID1](/[userID2]/...)(?howMany=n)(&considerKnownItems=true|false)(&rescorerParams=...) and in turn calls MyrrixRecommender.recommendToMany(long[], int, boolean, IDRescorer).
class	RefreshServlet Responds to a POST request to /refresh, and in turn calls Refreshable.refresh(java.util.Collection).
class	SimilarityServlet Responds to a GET request to /similarity/[itemID1](/[itemID2]/...)?howMany=n(&rescorerParams=...), and in turn calls ItemBasedRecommender.mostSimilarItems(long[], int) with the supplied values.