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  • Oct 30 12:09
    yilmazerhakan opened #317
  • Oct 28 12:56
    hegongshan opened #316
  • Oct 12 03:54

    SunYatong on 4.0.0-alpha

    add new branch 4.0.0-alpha (compare)

  • Sep 19 06:53
    meiyingqishi opened #315
  • Sep 19 06:31
    meiyingqishi opened #314
  • Sep 08 12:44
    liweigu commented #313
  • Sep 03 14:12
    paulkennethkent commented #313
  • Sep 03 14:12
    paulkennethkent closed #313
  • Sep 03 14:09
    paulkennethkent opened #313
  • Aug 31 07:46

    liweigu on 3.0.0

    update Merge pull request #312 from li… (compare)

  • Aug 31 07:46
    liweigu closed #312
  • Aug 31 07:39
    liweigu opened #312
  • Aug 27 06:24
    winwill2012 opened #311
  • Aug 26 10:34
    JoeyLin1995 closed #310
  • Aug 26 10:34
    JoeyLin1995 commented #310
  • Aug 26 08:07
    JoeyLin1995 edited #310
  • Aug 26 08:07
    JoeyLin1995 opened #310
  • Aug 20 05:56

    SunYatong on 3.0.0

    fix ndcg (compare)

  • Aug 14 01:45
    haokeliu commented #82
  • Aug 08 13:41
    tpccctv closed #309
Branimir Sesar
@bsesar

Hi all,
I have a user-item-rating data set (1 is low and 5 is high rating) and would like to obtain top-N recommendations. Currently, I am using the EALSRecommender. Here are my two questions:

1) Since I'm doing ranking, do I need to convert ratings into rankings for each user? I don't think so, but I want to make sure.
2) I am using K-fold cross-validation and AveragePrecision@10 to measure the performance of the model. Does KCV make sense when ranking items or should I use some other approach (e.g., LOOCV)? Also, should I use NDCG instead of AP? (I read somewhere that AP is more appropriate when having binary ratings)

Thanks in advance and thanks to @SunYatong for answering my questions on Github :-)

anslaity
@anslaity
Hi,

I am trying to evaluate the diversity of both, the slim and the plsa recommenders. however, the only result that I saw till now is 0.0. I wonder if there are special settings for diversity evaluator? bellow is the setting file.

Thanks in advance.

dfs.data.dir=../data
dfs.result.dir=../result

convertor

load data and splitting data

into two (or three) set

dfs.data.dir=C:\data

data.input.path=movielens/ml-100k

data.input.path=filmtrust/ratings

data.column.format=UIR
data.model.splitter=ratio
data.splitter.ratio=rating
data.model.format=text
data.splitter.trainset.ratio=0.2

set the random seed for reproducing the results (split data, init parameters and other methods using random)

rec.random.seed=1

binarize threshold mainly used in ranking

data.convert.binarize.threshold=-1.0

evaluation the result or not

rec.eval.enable=true

if this algorithm is ranking only true or false

rec.recommender.isranking=true
rec.recommender.ranking.topn=50

rec.iterator.maximum=100
rec.pgm.burn-in=100
rec.pgm.samplelag=100

rec.recommender.class=slim
rec.neighbors.knn.number=50

rec.similarity.class=pcc
rec.recommender.similarities=user
rec.eval.classes=precision,recall,auc,diversity

anslaity
@anslaity
I found a the answer
guoguibing/librec#185
ahanadevelopment
@ahanadevelopment
Hi
I need help to run in eclipse
Can someone help me
ahanadevelopment
@ahanadevelopment
Hi,
Can someone please help me
I can't import the librec application in eclipse
anslaity
@anslaity
@ahanadevelopment go to the following link. Translate it and follow the steps.
ahanadevelopment
@ahanadevelopment
Hi anslaity
Thank you
anslaity
@anslaity
your welcome
ahanadevelopment
@ahanadevelopment
I have followed it. But I get a issue with pom. I can't resolve it
It say no repository found
Plugin not found in any plugin repository
anslaity
@anslaity
do you mean the error of "data not exist" ?
ahanadevelopment
@ahanadevelopment
no
This error in pom.xml
It says "Plugin not found in any plugin repository"
anslaity
@anslaity
When does this message appear to you (after which step?)
ahanadevelopment
@ahanadevelopment
As soon as i finished the importing
after step 10
anslaity
@anslaity
are you using librec as a Maven project?
ahanadevelopment
@ahanadevelopment
in librec project
yes
anslaity
@anslaity
have you followed step 7 correctly (have you clicked on "cancel " button?
ahanadevelopment
@ahanadevelopment
Yes
sure
ACtually I believe it nothing to do with the steps to be followed for librec
most probably I have some kind of maven repository issue
anslaity
@anslaity
I'm not sure, actually. Sorry!
ahanadevelopment
@ahanadevelopment
no problem
thank you
beep
@beepsoft

Hi all,

I wonder what tools and algorithms of Librec should I use if I want to implement a multi criteria similarity search for a bike recommendation system?

Assume I have a database where all bikes have 3 attributes: Category, Weight, Price.
The user sets his preferences to: Mountain Bike, 30kg, $200

I would like to get as a recommendation result the following 2 bikes:

  1. Mountain Bike, 25kg, $180
  2. Mountain Bike, 35kg, $250

So, how should I go about it using Librec?

Thanks in advance!

michaelgrn
@michaelgrn
Hi guys, I am trying to use an ItemKNN but am getting a higher RMSE than a UserKNN. Seems like something might be a little bit off. This is my conf file https://pastebin.com/vn8jpkEF
Any ideas on what configurations I need to change? I've uncommented line 29 and it seems to take longer, but in the end spits out an error saying index out of bounds, recommend matrix does not match test matrix
Robin Burke
@rburke2233
I noticed that 3.0.0-beta has been released (as of 7/15). Are there release notes about what's new in this version? I am particularly curious about the new AuxiliaryDataAppender as this seems like it might be similar to the user/item feature capability that my group has been developing.
ran88dom99
@ran88dom99
What is the shell command to predict new users or items based on already existing model? Or how to save model? How to set predictions of model?
ran88dom99
@ran88dom99
*How to tell the the model to predict for all missing datapoints then print those predictions to file as an arff or similar?
ran88dom99
@ran88dom99
Also can any librec model output features for ML instead of predictions?
rosnilt
@rosnilt
@guoguibing, I try to find RegSVD.java at librec and found that the name was changed from RegSVD to PMF. So are they the same?
Pablo J. Villacorta
@olbapjose
Hi all,
I have been playing around with SVDPlusPlus and I have noticed that it is able to make predictions on an item that has never been seen (was not rated by any user in the training set, because it had been rated only by one user in the movielens 1M dataset, and that single rating was assigned to the test fold so it does not appear in the training folds). Could you please explain how do you predict a rating that has never appeared in the training set?
Karan Sharma
@kayforkaran
Hi, I am a new contributor. Where can I start?
gabrielcrds
@gabrielcrds
Hello. I'm trying to start using LibRec. Is there any working example for me to start from? The one from the documentation page (https://www.librec.net/dokuwiki/doku.php?id=introduction) does not work. The Recommender class does not have a train method, and the IDE is unable to find an EvalContext class... the example uses these. I have just downloaded v2.0 and don't know if this example is for older versions.
yuyan1988nb
@yuyan1988nb
hi all,is there any development document for the libRec?i wanana do some test ,but i cant understand the result 。。
floyddcn
@floyddcn
hi all,i run the UserKNNTestCase and ItemKNNTestCase,but still have no idea of what the result means.For example, in UserKNNTestCase i just want to get some recommendations for a list of user,but i got some test result whick consist of a lot of data from the testset(part of the trainset by ratio or in another testset file alone)
but it dont understand why i should specify URI format if i just want to do recommend(only a userlist as a testset?)?Or it's a whole process which can't be sperated into TEST/Evaluate and RECOMMEND BY A LIST ? If so,how can i get the results i want?
欧阳锋
@yuanhoujun
How about for recommending videos
LaingKe
@laingke
It seems the demo site and docs site were down. Is this system under maintenance?