- word2vec https://arxiv.org/abs/1310.4546
- sentence2vec, paragraph2vec, doc2vec http://arxiv.org/abs/1405.4053
- tweet2vec http://arxiv.org/abs/1605.03481
- tweet2vec https://arxiv.org/abs/1607.07514
- author2vec http://dl.acm.org/citation.cfm?id=2889382
- item2vec http://arxiv.org/abs/1603.04259
- lda2vec https://arxiv.org/abs/1605.02019
- illustration2vec http://dl.acm.org/citation.cfm?id=2820907
wubinzzu
/ something2vec.md
Created
June 9, 2017 09:04
— forked from nzw0301/something2vec.md
wubinzzu
/ convex_fm.py
Created
October 18, 2016 09:40
— forked from vene/convex_fm.py
Convex Factorization Machines (http://www.mblondel.org/publications/mblondel-ecmlpkdd2015.pdf)
This file contains hidden or 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
| # -*- coding: utf8 -*- | |
| """Convex factorization machines | |
| Implements the solver by: Mathieu Blondel, Akinori Fujino, Naonori Ueda. | |
| "Convex factorization machines". Proc. of ECML-PKDD 2015 | |
| http://www.mblondel.org/publications/mblondel-ecmlpkdd2015.pdf | |
| """ | |
| # Author: Vlad Niculae <vlad@vene.ro> | |
| # License: Simplified BSD |
wubinzzu
/ poisson_factorization_machine.py
Created
October 18, 2016 09:39
— forked from vene/poisson_factorization_machine.py
This file contains hidden or 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
| """ Poisson-loss Factorization Machines with Numba | |
| Follows the vanilla FM model from: | |
| Steffen Rendle (2012): Factorization Machines with libFM. | |
| In: ACM Trans. Intell. Syst. Technol., 3(3), May. | |
| http://doi.acm.org/10.1145/2168752.2168771 | |
| See also: https://github.com/coreylynch/pyFM | |
| """ |
wubinzzu
/ gist:afb589f2e472613af6d67738eab71c20
Created
April 28, 2016 16:57
— forked from entaroadun/gist:1653794
Recommendation and Ratings Public Data Sets For Machine Learning
Movies Recommendation:
- MovieLens - Movie Recommendation Data Sets http://www.grouplens.org/node/73
- Yahoo! - Movie, Music, and Images Ratings Data Sets http://webscope.sandbox.yahoo.com/catalog.php?datatype=r
- Jester - Movie Ratings Data Sets (Collaborative Filtering Dataset) http://www.ieor.berkeley.edu/~goldberg/jester-data/
- Cornell University - Movie-review data for use in sentiment-analysis experiments http://www.cs.cornell.edu/people/pabo/movie-review-data/
Music Recommendation:
- Last.fm - Music Recommendation Data Sets http://www.dtic.upf.edu/~ocelma/MusicRecommendationDataset/index.html