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| experiment: | ||
| dataset: | ||
| name: ml-100k | ||
| item: # infos related to item dataset (mandatory, at least item_id) | ||
| path: datasets/ml-100k/processed/item.csv | ||
| extra_features: [movie_year, movie_title] # features(columns) beside item_id to be used | ||
| user: # mandatory (at least user_id) | ||
| path: datasets/ml-100k/processed/user.csv | ||
| extra_features: [gender, occupation] # features beside user_id | ||
| ratings: # mandatory (at least [user_id, item_id, rating]) | ||
| path: datasets/ml-100k/processed/rating.csv | ||
| timestamp: True | ||
| enrich: | ||
| map_path: datasets/ml-100k/processed/map.csv | ||
| enrich_path: datasets/ml-100k/processed/enriched.csv | ||
| remove_unmatched: False | ||
| properties: [subject, director] | ||
|
|
||
| preprocess: | ||
| # - method: filter_by_rating | ||
| # parameters: | ||
| # threshold: 20 | ||
| # - method: binarize | ||
| # parameters: | ||
| # threshold: 4 | ||
| - method: filter_kcore | ||
| parameters: | ||
| k: 20 | ||
| iterations: 1 | ||
| target: user # user or rating | ||
|
|
||
| split: | ||
| seed: 42 | ||
| # test: | ||
| # method: random_by_ratio | ||
| # level: global | ||
| # p: 0.2 | ||
| # validation: | ||
| # method: random_by_ratio | ||
| # level: global | ||
| # p: 0.2 | ||
|
|
||
| # test: | ||
| # method: timestamp_by_ratio | ||
| # level: user | ||
| # p: 0.1 | ||
| # validation: | ||
| # level: user | ||
| # method: timestamp_by_ratio | ||
| # p: 0.2 | ||
|
|
||
| # test: | ||
| # method: fixed_timestamp | ||
| # # type: global_level | ||
| # timestamp: 890000000 | ||
| # validation: | ||
| # method: fixed_timestamp | ||
| # timestamp: 880000000 | ||
|
|
||
| test: | ||
| method: k_fold | ||
| k: 5 | ||
| level: "user" | ||
|
|
||
| models: | ||
| - name: deepwalk_based | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| walk_len: 10 | ||
| p: 1.0 | ||
| q: 1.0 | ||
| n_walks: 50 | ||
| embedding_size: 64 | ||
| epochs: 1 | ||
| - name: deepwalk_based | ||
| config: | ||
| parameters: | ||
| walk_len: 10 | ||
| p: 0.8 | ||
| q: 0.6 | ||
| n_walks: 50 | ||
| embedding_size: 64 | ||
| epochs: 1 | ||
| - name: complEx | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_dim: 100 | ||
| epochs: 5 | ||
| seed: 42 | ||
| triples: ratings # only (ratings) or (all) triples for training | ||
| - name: distMult | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_dim: 50 | ||
| epochs: 5 | ||
| seed: 42 | ||
| triples: all # only (ratings) or (all) triples for training | ||
| - name: rESCAL | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_dim: 50 | ||
| epochs: 5 | ||
| seed: 42 | ||
| triples: ratings # only (ratings) or (all) triples for training | ||
| - name: rotatE | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_dim: 200 | ||
| epochs: 5 | ||
| seed: 42 | ||
| triples: all # only (ratings) or (all) triples for training | ||
| - name: transD | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_dim: 150 | ||
| epochs: 5 | ||
| seed: 42 | ||
| triples: ratings # only (ratings) or (all) triples for training | ||
| - name: transE | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_dim: 150 | ||
| scoring_fct_norm: 1 | ||
| epochs: 5 | ||
| seed: 42 | ||
| triples: ratings # only (ratings) or (all) triples for training | ||
| - name: transH | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_dim: 150 | ||
| scoring_fct_norm: 2 | ||
| epochs: 5 | ||
| seed: 42 | ||
| triples: ratings # only (ratings) or (all) triples for training | ||
| - name: transR | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_dim: 150 | ||
| relation_dim: 90 | ||
| scoring_fct_norm: 2 | ||
| epochs: 5 | ||
| seed: 42 | ||
| triples: all # only (ratings) or (all) triples for training | ||
| - name: tuckER | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_dim: 200 | ||
| epochs: 5 | ||
| seed: 42 | ||
| triples: ratings # only (ratings) or (all) triples for training | ||
| - name: ePHEN | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_model: "sentence-transformers/distiluse-base-multilingual-cased-v2" | ||
| embed_with: abstract | ||
| iterations: 30 | ||
| mi: 0.5 | ||
| - name: ePHEN | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_model: deepwalk_based | ||
| embedding_model_kwargs: | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| walk_len: 10 | ||
| p: 1.0 | ||
| q: 1.0 | ||
| n_walks: 50 | ||
| embedding_size: 64 | ||
| epochs: 1 | ||
| embed_with: graph | ||
| iterations: 30 | ||
| mi: 0.5 | ||
| - name: ePHEN | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_model: deepwalk_based | ||
| embedding_model_kwargs: | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| walk_len: 10 | ||
| p: 0.8 | ||
| q: 0.6 | ||
| n_walks: 50 | ||
| embedding_size: 64 | ||
| epochs: 1 | ||
| embed_with: graph | ||
| iterations: 30 | ||
| mi: 0.5 | ||
| - name: ePHEN | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_model: complEx | ||
| embedding_model_kwargs: | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_dim: 100 | ||
| epochs: 5 | ||
| seed: 42 | ||
| triples: ratings # only (ratings) or (all) triples for training | ||
| embed_with: graph | ||
| iterations: 30 | ||
| mi: 0.5 | ||
| - name: ePHEN | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_model: distMult | ||
| embedding_model_kwargs: | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_dim: 50 | ||
| epochs: 5 | ||
| seed: 42 | ||
| triples: all # only (ratings) or (all) triples for training | ||
| embed_with: graph | ||
| iterations: 30 | ||
| mi: 0.5 | ||
| - name: ePHEN | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_model: rESCAL | ||
| embedding_model_kwargs: | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_dim: 50 | ||
| epochs: 5 | ||
| seed: 42 | ||
| triples: ratings # only (ratings) or (all) triples for training | ||
| embed_with: graph | ||
| iterations: 30 | ||
| mi: 0.5 | ||
| - name: ePHEN | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_model: rotatE | ||
| embedding_model_kwargs: | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_dim: 200 | ||
| epochs: 5 | ||
| seed: 42 | ||
| triples: all # only (ratings) or (all) triples for training | ||
| embed_with: graph | ||
| iterations: 30 | ||
| mi: 0.5 | ||
| - name: ePHEN | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_model: transD | ||
| embedding_model_kwargs: | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_dim: 150 | ||
| epochs: 5 | ||
| seed: 42 | ||
| triples: ratings # only (ratings) or (all) triples for training | ||
| embed_with: graph | ||
| iterations: 30 | ||
| mi: 0.5 | ||
| - name: ePHEN | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_model: transE | ||
| embedding_model_kwargs: | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_dim: 150 | ||
| scoring_fct_norm: 1 | ||
| epochs: 5 | ||
| seed: 42 | ||
| triples: ratings # only (ratings) or (all) triples for training | ||
| embed_with: graph | ||
| iterations: 30 | ||
| mi: 0.5 | ||
| - name: ePHEN | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_model: transH | ||
| embedding_model_kwargs: | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_dim: 150 | ||
| scoring_fct_norm: 2 | ||
| epochs: 5 | ||
| seed: 42 | ||
| triples: ratings # only (ratings) or (all) triples for training | ||
| embed_with: graph | ||
| iterations: 30 | ||
| mi: 0.5 | ||
| - name: ePHEN | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_model: transR | ||
| embedding_model_kwargs: | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_dim: 150 | ||
| relation_dim: 90 | ||
| scoring_fct_norm: 2 | ||
| epochs: 5 | ||
| seed: 42 | ||
| triples: all # only (ratings) or (all) triples for training | ||
| embed_with: graph | ||
| iterations: 30 | ||
| mi: 0.5 | ||
| - name: ePHEN | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_model: tuckER | ||
| embedding_model_kwargs: | ||
| config: | ||
| save_weights: True | ||
| parameters: | ||
| embedding_dim: 200 | ||
| epochs: 5 | ||
| seed: 42 | ||
| triples: ratings # only (ratings) or (all) triples for training | ||
| embed_with: graph | ||
| iterations: 30 | ||
| mi: 0.5 | ||
|
|
||
| evaluation: | ||
| k: 5 | ||
| relevance_threshold: 0 | ||
| metrics: [MAP, nDCG] | ||
|
|
||
| report: | ||
| file: "experiment_results/ml-100k/run1.csv" | ||
| execution_times: | ||
| file: "experiment_results/ml-100k_execution-times/run1.csv" |