{"id":"W2783272285","doi":"10.1145/3159652.3159656","title":"Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":1909,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Sequence (biology); Embedding; Recommender system; Variety (cybernetics); Order (exchange); Sequential Pattern Mining; Artificial intelligence; Convolutional neural network; Information retrieval; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07371477418994596,"score_gpt":0.3446337966476576,"score_spread":0.2709190224577117,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}