Package net.myrrix.web.servlets

Class Summary

Class	Description
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().
AbstractMyrrixServlet	Superclass of HttpServlets used in the application.
AllItemIDsServlet
AllUserIDsServlet
BecauseServlet	Responds to a GET request to /because/[userID]/[itemID]?howMany=n, and in turn calls MyrrixRecommender.recommendedBecause(long, long, int).
EstimateServlet	Responds to a GET request to /estimate/[userID]/[itemID] and in turn calls MyrrixRecommender.estimatePreference(long, long).
IngestServlet	Responds to a POST request to /ingest and in turn calls MyrrixRecommender.ingest(java.io.Reader)}.
LogServlet	Prints recent log messages to the response.
PreferenceServlet	Responds to a POST request to /pref/[userID]/[itemID] and in turn calls MyrrixRecommender.setPreference(long, long, float).
ReadyServlet	Responds to a HEAD request to /ready and in turn calls MyrrixRecommender.isReady().
RecommendServlet	Responds to a GET request to /recommend/[userID](?howMany=n)(&considerKnownItems=true|false)(&rescorerParams=...) and in turn calls MyrrixRecommender.recommend(long, int).
RecommendToAnonymousServlet	Responds to a GET request to /recommendToAnonymous/[itemID1(=value1)](/[itemID2(=value2)]/...)?howMany=n[&rescorerParams=...], and in turn calls MyrrixRecommender.recommendToAnonymous(long[], float[], int, IDRescorer) with the supplied values.
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).
RefreshServlet	Responds to a POST request to /refresh, and in turn calls Refreshable.refresh(java.util.Collection).
SimilarityServlet	Responds to a GET request to /similarity/[itemID1](/[itemID2]/...)?howMany=n(&rescorerParams=...), and in turn calls MyrrixRecommender.mostSimilarItems(long[], int) with the supplied values.