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updateRating(ItemRating)
- Static method in class org.recommender.server.
DBList
Update clients' ratings in the table.
updateStats(int)
- Method in class org.recommender.server.
DataManager
Recalculate mean and standard deviation for a given user.
updateUser(int)
- Method in class org.recommender.algorithms.
SimplePearsonAlgorithm
Doesn't currently need upateUser.
updateUser(int)
- Method in interface org.recommender.algorithms.
CFAlgorithm
Notify algorithm that the given user's ratings have changed.
updateUser(int)
- Method in class org.recommender.algorithms.Experimental.
UserItem2Algorithm
Not yet implemented.
updateUser(int)
- Method in class org.recommender.algorithms.Experimental.
TransNeighborAlgorithm
Not yet implemented.
updateUser(int)
- Method in class org.recommender.algorithms.Experimental.
SimpleSVD
Not implemented
updateUser(int)
- Method in class org.recommender.algorithms.Experimental.
SVD_Pearson
Not implemented
updateUser(int)
- Method in class org.recommender.algorithms.Experimental.
SVD_Cosine
Not implemented
updateUser(int)
- Method in class org.recommender.algorithms.Experimental.
ContinuousBayesNetAlgorithm
updateUser(int)
- Method in class org.recommender.algorithms.Experimental.
BayesNetAlgorithm
Update user information, not yet complete.
updateUser(int)
- Method in class org.recommender.algorithms.Experimental.
VectorSimilarityAlgorithm
Not yet complete.
updateUser(int)
- Method in class org.recommender.algorithms.Experimental.
UserItemAlgorithm
Not yet complete.
updateUser(int)
- Method in class org.recommender.algorithms.Experimental.
SimpleDistributionAlgorithm
Haven't been implemented.
updateUser(int)
- Method in class org.recommender.algorithms.Experimental.
PopAlgorithm
Not yet implemented.
updateUser(int)
- Method in class org.recommender.algorithms.Experimental.
PersonalityAlgorithm
Not yet implemented.
updateUser(int)
- Method in class org.recommender.algorithms.Experimental.
ItemItemAlgorithm
Currently does not need updateUser
updateUser(int)
- Method in class org.recommender.algorithms.Experimental.
HortingAlgorithm
When new user comes in, update the neighborLists and maxUser and HortingArray.
updateUser(int)
- Method in class org.recommender.algorithms.Experimental.
DumbPopAlgorithm
Requires no action.
updateUser(int)
- Method in class org.recommender.algorithms.Experimental.
ClusteringAlgorithm
Not yet implemented.
USE_EXPECTED_VALUE
- Variable in class org.recommender.algorithms.Experimental.
ClusteringAlgorithm
user
- Variable in class org.recommender.clients.console.
Rating
User
- class org.recommender.clients.console.
User
.
Describes the user info for the CF Engine.
USER_TABLE
- Static variable in class org.recommender.util.
UtilConstants
USER_TABLE
- Static variable in class org.recommender.clients.console.
ClientConstants
Name of usertable
USER_TABLE_FIELD_ID
- Static variable in class org.recommender.clients.console.
ClientConstants
Field of usertable - user id
USER_TABLE_FIELD_NAME
- Static variable in class org.recommender.clients.console.
ClientConstants
Field of usertable - user name
User(int)
- Constructor for class org.recommender.clients.console.
User
Constructor when a server-side id exists, but there isn't a client-side user name
User(int, String)
- Constructor for class org.recommender.clients.console.
User
Use this constructor if have all the information.
User(String)
- Constructor for class org.recommender.clients.console.
User
Only use this constructor if don't have the userID available.
UserDatabaseCreator
- class org.recommender.util.
UserDatabaseCreator
.
Describes a tool to read the User data file in dataset and poplulate a database (MySQL).
UserDatabaseCreator()
- Constructor for class org.recommender.util.
UserDatabaseCreator
userDistance
- Variable in class org.recommender.algorithms.
TestStats
Statistics for the current user, allowing us to do averages over all users rather than all ratings.
userDistSquared
- Variable in class org.recommender.algorithms.
TestStats
userID
- Variable in class org.recommender.server.
UserInfo
UserInfo
- class org.recommender.server.
UserInfo
.
This class implements a user's records, including his/her rartings list, mean rating and Standard deviation.
UserInfo(int)
- Constructor for class org.recommender.server.
UserInfo
Constructor with param of only userID.
UserInfo(int, RatingArrays, float, float)
- Constructor for class org.recommender.server.
UserInfo
Constructor with params of userID, ratings, mean and standard deviation.
UserInfo(int, RatingArrays, float, float, boolean)
- Constructor for class org.recommender.server.
UserInfo
Constructor with params of userID, ratings, mean and standard deviation.
UserItem2Algorithm
- class org.recommender.algorithms.Experimental.
UserItem2Algorithm
.
Describes an implementation of the CFAlgorithm interface to make CF predictions using a Pearson nearest neighbor algorithm, but limited to examining similar items using the Item-Item adjusted cosine algorithm described in Sarwar, et al, 2001.
UserItem2Algorithm(DataManager)
- Constructor for class org.recommender.algorithms.Experimental.
UserItem2Algorithm
Constructor, load parameters and set up neighborhoods.
UserItemAlgorithm
- class org.recommender.algorithms.Experimental.
UserItemAlgorithm
.
Describes an implementation of the CFAlgorithm interface to make CF predictions using a modification of the Simple Pearson Correlation method.
UserItemAlgorithm(DataManager)
- Constructor for class org.recommender.algorithms.Experimental.
UserItemAlgorithm
Initialize parameters, set up neighborhood, and calculate item average.
usersTested
- Variable in class org.recommender.algorithms.
TestStats
Total number of users tested.
userTopN
- Variable in class org.recommender.server.
UserInfo
userUnload(int)
- Method in class org.recommender.server.
DataManager
Remove a user from the cache.
UtilConstants
- class org.recommender.util.
UtilConstants
.
A central place for database Table format
UtilConstants()
- Constructor for class org.recommender.util.
UtilConstants
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