Comments (12)
Michael Ekstrand [email protected] on 2011-07-15 20:25:52 said:
In [d3a13596ca2a9e995f74e1197fef52916bcd5d78]:
Update the evaluation tools for events (refs #48)
* Update TrainTestPredictEvaluator to use the new event
* Add user history fromRatings method to UserRatingVector
* Update the CrossfoldSplit and Import tasks to use events
* Extract code binding rating values to statement parameters into a helper method
Note: This comment has been automatically migrated from Bitbucket
Created by grouplens on 2013-02-01T21:55:51.212350+00:00, last updated: None
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Michael Ekstrand [email protected] on 2011-07-15 20:25:51 said:
In [b9cbfd068f0ff714c0dc39c3d4003c1fc4cfc77f]:
Introduce Events (refs #48)
* Introduce the Event hierarchy
* Introduce Preference
* Make rating snapshots operate on preferences
* Make rating snapshot packing logic iterate in timestamp order for simplicity
* Randomize rating snapshot ordering
* Rework and sanitize DAO for event-based data access
Note: This comment has been automatically migrated from Bitbucket
Created by grouplens on 2013-02-01T21:55:50.879260+00:00, last updated: None
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ekstrand on 2011-07-15 18:41:42 said:
This is written and in review.
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Created by grouplens on 2013-02-01T21:55:50.533469+00:00, last updated: None
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Michael Ekstrand [email protected] on 2011-07-14 15:45:59 said:
In [98892a010b793929006ede7ecb8e0341daffeec6]:
Move rating data to o.g.l.d.event package (refs #48)
Moves the rating data to the o.g.l.d.event package in preparation for creating the Event abstraction.
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Created by grouplens on 2013-02-01T21:55:50.179022+00:00, last updated: None
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ekstrand on 2011-07-01 16:16:27 said:
Deferring unfinished tickets.
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Created by grouplens on 2013-02-01T21:55:49.848729+00:00, last updated: None
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ekstrand on 2011-07-01 15:22:55 said:
This is changing a lot - we now want an Event abstraction (and have gotten rid of ScoredId
).
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Created by grouplens on 2013-02-01T21:55:49.438053+00:00, last updated: None
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ekstrand on 2011-06-17 21:36:27 said:
Deferring to future release.
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Created by grouplens on 2013-02-01T21:55:49.074924+00:00, last updated: None
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ekstrand on 2011-06-15 21:46:57 said:
Evaluate this for 0.1, need the API solidified.
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Created by grouplens on 2013-02-01T21:55:48.733251+00:00, last updated: None
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ekstrand on 2011-07-15 20:47:59 said:
Now done.
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Created by grouplens on 2013-02-01T21:55:48.396465+00:00, last updated: None
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Michael Ekstrand [email protected] on 2011-07-15 20:25:53 said:
In [936be4f70e051ac06adabb6c111abafbf9560ff6]:
Update SVD recommenders for events (refs #48)
Note: This comment has been automatically migrated from Bitbucket
Created by grouplens on 2013-02-01T21:55:48.033026+00:00, last updated: None
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Michael Ekstrand [email protected] on 2011-07-15 20:25:53 said:
In [214770fd7542cae20f157ef1e838fc28b531790c]:
Update the Slope-One recommenders for events (refs #48)
Note: This comment has been automatically migrated from Bitbucket
Created by grouplens on 2013-02-01T21:55:47.677229+00:00, last updated: None
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Michael Ekstrand [email protected] on 2011-07-15 20:25:52 said:
In [c692655e080de952c2f42ecc0f4fd4e2b9e25213]:
Update the kNN recommenders for events (refs #48)
Note: This comment has been automatically migrated from Bitbucket
Created by grouplens on 2013-02-01T21:55:47.325045+00:00, last updated: None
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Related Issues (20)
- Support query/runtime data in train-test evaluation
- Support emitting query data from crossfolder
- Support Bellogin's evaluation methods
- Bad import detection is broken HOT 1
- Add option for evaluation to continue after a failed job
- Add setting to restrict parallel evaluations
- Create general-purpose score/recommend/rank APIs
- which algorithm does use the item feature(e.g. some features in ML-100k's u.item files) in Lenskit HOT 3
- Support frequency-based recommendation
- Implement hit rate metric
- Rating summary is asking for Rating entities for implicit feedback data HOT 5
- Isolated train-test sets do not work correctly
- Implement new-style JDBC DAO HOT 2
- Write eval results to a database
- Adding Parameter to IntelliJ IDEA HOT 1
- Investigate switching to LA4J HOT 3
- Remove SparseVector
- Create general-purpose Lucene-based recommender HOT 1
- Support count attributes in popularity statistics
- ItemRecommender documentation is vague on some details. HOT 4
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