add lastfm dataset #91
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This adds a dataset based off the lastfm360K dataset, using factors generated by a simple MF based recommendation model. This lets us replicate the experiments done in this post: http://www.benfrederickson.com/approximate-nearest-neighbours-for-recommender-systems/
This was referenced Aug 5, 2018
|
This is excellent – thanks for contributing. Will include it in the next round of benchmarks! |
|
(separately I should probably figure out a way to run the dataset code as a part of the CI) |
|
will generate a dataset and upload it shortly |
|
Sorry for the late realization but I never linked to this from the README. adding that now as a part of #166 |
# for free
to join this conversation on GitHub.
Already have an account?
# to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
This adds a dataset based off the lastfm360K dataset, using factors generated by a simple MF based recommendation model.
This lets us replicate the experiments done in this post: http://www.benfrederickson.com/approximate-nearest-neighbours-for-recommender-systems/ , with the main benefit that this lets us test out inner product lookup of MF based recommender models on top of angular ANN indices.
The generated dataset is here https://github.com/benfred/recommender_data/releases/download/v1.0/lastfm-64-dot.hdf5