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S
sampleUsers()
- Method in class org.recommender.server.
DataManager
Function called by the Resample Thread, at regular intervals of time.
samplingFlag
- Variable in class org.recommender.server.
UserInfo
sd
- Variable in class org.recommender.algorithms.Experimental.
BinGaussian
setCFManager(ClientCFManager)
- Method in class org.recommender.clients.console.
ClientTextUI
setID(int)
- Method in class org.recommender.clients.console.
User
Call this method as soon as the user id is assigned.
setIdle(long)
- Static method in class org.recommender.server.
Resample
Disable this thread for while (static reference allows an external class to put it to sleep)
setIdle(long)
- Static method in class org.recommender.server.
CacheUpdate
Disable this thread for while (static reference allows an external class to put it to sleep)
setIncrementSize(int)
- Method in class org.recommender.server.
RatingArrays
Size the arrays will increase once they reach threshold
setItem(Item)
- Method in class org.recommender.clients.console.
Rating
setItem(Item)
- Method in class org.recommender.clients.console.
Prediction
setItemMean(float)
- Method in class org.recommender.server.
ItemInfo
setItemRatingsHash(IntHashMap)
- Method in class org.recommender.server.
ItemInfo
setItemSD(float)
- Method in class org.recommender.server.
ItemInfo
setMaxItems(int)
- Method in class org.recommender.server.
DataManager
setMaxUsers(int)
- Method in class org.recommender.server.
DataManager
setNumItems(int)
- Method in class org.recommender.server.
DataManager
setNumUsers(int)
- Method in class org.recommender.server.
DataManager
setNumUsersCached(int)
- Method in class org.recommender.server.
DataManager
setPredictionValue(float)
- Method in class org.recommender.clients.console.
Prediction
setRating(int, int, float)
- Method in class org.recommender.server.
CFEngineImpl
Send a new rating the CFEngine server.
setRating(int, int, float)
- Method in interface org.recommender.server.
CFEngine
Add new rating to both database and the cache.
setRatingList(ItemRating[])
- Method in class org.recommender.server.
CFEngineImpl
Add a list of new ItemRatings to both database and the cache.
setRatingList(ItemRating[])
- Method in interface org.recommender.server.
CFEngine
Add a list of new ItemRatings to both database and the cache.
setRatings(RatingArrays)
- Method in class org.recommender.server.
UserInfo
setRatingValue(int)
- Method in class org.recommender.clients.console.
Rating
setReferenced(boolean)
- Method in class org.recommender.server.
UserInfo
setServer(CFEngine)
- Method in class org.recommender.clients.console.
ClientCFManager
Setter.
setString(String, String)
- Method in class org.recommender.algorithms.
SimpleParameterSet
Sets a parameter's value.
setString(String, String)
- Method in class org.recommender.algorithms.
ParameterSet
Child classes are responsible for implementing this method, as well as some way to construct a ParameterSet.
setTypeId(int)
- Method in class org.recommender.clients.console.
Type
setTypeName(String)
- Method in class org.recommender.clients.console.
Type
setUpNeighborhoods()
- Method in class org.recommender.algorithms.Experimental.
UserItem2Algorithm
Set up neighborhoods.
setUpNeighborhoods()
- Method in class org.recommender.algorithms.Experimental.
UserItemAlgorithm
Set up neighborhood using pearson correlations.
setUseCount(int)
- Method in class org.recommender.server.
UserInfo
setUser(User)
- Method in class org.recommender.clients.console.
Rating
setUserAddedRatings(int)
- Method in class org.recommender.server.
UserInfo
setUserMean(float)
- Method in class org.recommender.server.
UserInfo
setUserSD(float)
- Method in class org.recommender.server.
UserInfo
showTable(String, Statement)
- Static method in class org.recommender.util.
Database
Print out the whole table.
shutdown()
- Method in class org.recommender.server.
CFEngineImpl
Graciously shut the server down.
shutdown()
- Method in interface org.recommender.server.
CFEngine
Shuts the server down.
shutdown()
- Method in class org.recommender.server.
DataManager
shutdown()
- Method in class org.recommender.server.corba.
CFEngineCorbaImpl
Graciously shut the server down.
SimilarityVector
- Variable in class org.recommender.algorithms.Experimental.
SVD_Pearson
SimilarityWeight
- class org.recommender.algorithms.
SimilarityWeight
.
Represents the similarity between the active user (or item) and some neighbor user (or item).
SimilarityWeight(int, float)
- Constructor for class org.recommender.algorithms.
SimilarityWeight
Construct a new SimilarityWeight.
similarityWeightList
- Variable in class org.recommender.algorithms.Experimental.
PersonalityAlgorithm
SimpleDistributionAlgorithm
- class org.recommender.algorithms.Experimental.
SimpleDistributionAlgorithm
.
Describes an implementation of the CFAlgorithm interface to make CF predictions using the Simple Pearson Correlation combined with distribtion vectors.
SimpleDistributionAlgorithm(DataManager)
- Constructor for class org.recommender.algorithms.Experimental.
SimpleDistributionAlgorithm
Constructor, pass in dataMgr and initialize algorithm parameters.
SimpleParameterSet
- class org.recommender.algorithms.
SimpleParameterSet
.
Parse a file containing algorithm parameters, and allow access to those parameters.
SimpleParameterSet()
- Constructor for class org.recommender.algorithms.
SimpleParameterSet
Constructor, creates dummy parameter file
SimpleParameterSet(Properties)
- Constructor for class org.recommender.algorithms.
SimpleParameterSet
Constructor, gets params from props directly and changes them into strings
SimpleParameterSet(String)
- Constructor for class org.recommender.algorithms.
SimpleParameterSet
Constructor, loads the file with the given filename.
SimplePearsonAlgorithm
- class org.recommender.algorithms.
SimplePearsonAlgorithm
.
Describes an implementation of the CFAlgorithm interface to make CF predictions using the Simple Pearson Correlation method.
SimplePearsonAlgorithm(DataManager)
- Constructor for class org.recommender.algorithms.
SimplePearsonAlgorithm
Constructor, pass in dataMgr and initialize algorithm parameters.
SimpleSVD
- class org.recommender.algorithms.Experimental.
SimpleSVD
.
Describes an implementation of the CFAlgorithm interface to make CF predictions using the Simple SVD method.
SimpleSVD(DataManager)
- Constructor for class org.recommender.algorithms.Experimental.
SimpleSVD
Constructor, simply assigns DataManager.
SimpleSVDOperation()
- Method in class org.recommender.algorithms.Experimental.
SimpleSVD
Construct the SVD-reduced matrix
singleItemTest(int)
- Method in class org.recommender.test.
GetUserArrayTest
singleItemTest() Get user array: 1.get array 2.rate 5 users and get array 3.remove first 5 users and get array
singleItemTest(int)
- Method in class org.recommender.test.
GetPredictedRatingTest
singleItemTest() Get 1 item, compare predicted value with the one in DB
singleItemTest(int)
- Method in class org.recommender.test.
RemoveRatingTest
singleItemTest1() 1.
singleItemTest1(int)
- Method in class org.recommender.test.
GetPredictedRatingListTest
singleItemTest1() item array length is 1(randomly), compare predicted value with the one in DB
singleItemTest1(int)
- Method in class org.recommender.test.
AddRatingTest
singleItemTest1() Add a item (existed), check value in 2 ways 1.
singleItemTest2(int)
- Method in class org.recommender.test.
GetPredictedRatingListTest
singleItemTest2() item array length is 1 (existed), compare predicted value with the one in DB
singleItemTest2(int)
- Method in class org.recommender.test.
AddRatingTest
singleItemTest2() Add a item (randomly), check value in 2 ways 1.
singleUserTest(int)
- Method in class org.recommender.test.
GetItemArrayTest
singleUserTest() Get item array: 1.get array 2.rate 5 items and get array 3.remove first 5 itmes and get array
size()
- Method in class org.recommender.server.
Stats
Returns the number of numbers in the set.
size()
- Method in class org.recommender.server.
IntHashMap
Returns the number of elements contained in the hashtable.
size()
- Method in class org.recommender.server.
SynIntHashMap
sparcifyData(Iterator, int, int)
- Method in class org.recommender.server.
DataManager
startCdataSection(StartCdataSectionEvent)
- Method in class org.recommender.algorithms.Experimental.
ContinuousBayesNet
startCdataSection(StartCdataSectionEvent)
- Method in class org.recommender.algorithms.Experimental.
BayesNet
startDocument()
- Method in class org.recommender.algorithms.Experimental.
ContinuousBayesNet
startDocument()
- Method in class org.recommender.algorithms.Experimental.
BayesNet
startDocumentTypeDeclaration(StartDocumentTypeDeclarationEvent)
- Method in class org.recommender.algorithms.Experimental.
ContinuousBayesNet
startDocumentTypeDeclaration(StartDocumentTypeDeclarationEvent)
- Method in class org.recommender.algorithms.Experimental.
BayesNet
startElement(StartElementEvent)
- Method in class org.recommender.algorithms.Experimental.
ContinuousBayesNet
startElement(StartElementEvent)
- Method in class org.recommender.algorithms.Experimental.
BayesNet
startEntityReference(StartEntityReferenceEvent)
- Method in class org.recommender.algorithms.Experimental.
ContinuousBayesNet
startEntityReference(StartEntityReferenceEvent)
- Method in class org.recommender.algorithms.Experimental.
BayesNet
startSession()
- Method in interface org.recommender.clients.console.
ClientUI
Stats
- class org.recommender.server.
Stats
.
Calculates Mean or Standard Deviation for a set of numbers.
Stats()
- Constructor for class org.recommender.server.
Stats
Default constructor.
SVD_Cosine
- class org.recommender.algorithms.Experimental.
SVD_Cosine
.
Describes an implementation of the CFAlgorithm interface to make CF predictions using the SVD + Cosine correlation method.
SVD_Cosine(DataManager)
- Constructor for class org.recommender.algorithms.Experimental.
SVD_Cosine
Constructor, simply assigns DataManager.
SVD_CosineOperation()
- Method in class org.recommender.algorithms.Experimental.
SVD_Cosine
Compute the Cosine distance based on users' ratings on "features"
SVD_Pearson
- class org.recommender.algorithms.Experimental.
SVD_Pearson
.
Describes an implementation of the CFAlgorithm interface to make CF predictions using the SVD + Pearson correlation method.
SVD_Pearson(DataManager)
- Constructor for class org.recommender.algorithms.Experimental.
SVD_Pearson
Constructor, simply assigns DataManager.
SVD_PearsonOperation()
- Method in class org.recommender.algorithms.Experimental.
SVD_Pearson
Compute the Pearson correlations based on users' ratings on "features"
SynIntHashMap
- class org.recommender.server.
SynIntHashMap
.
Implement the synchronized IntHashMap.
SynIntHashMap(IntHashMap)
- Constructor for class org.recommender.server.
SynIntHashMap
SystemProperties
- class org.recommender.server.
SystemProperties
.
SystemProperties loads, maintains, and provides accessors for all CFServer properties.
SystemProperties()
- Constructor for class org.recommender.server.
SystemProperties
SystemUtils
- class org.recommender.server.
SystemUtils
.
This class contains mics utils - printDebug and notImplementedMsg.
SystemUtils()
- Constructor for class org.recommender.server.
SystemUtils
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