{"id":"W1998821701","doi":"10.1109/bdcloud.2014.51","title":"Incorporating User Reviews as Implicit Feedback for Improving Recommender Systems","year":2014,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Recommender system; Computer science; Collaborative filtering; World Wide Web; Information retrieval; Data science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006927125,0.00200594,0.003049146,0.003496371,0.001073141,0.002086804,0.002268361,0.002408946,0.001376732],"category_scores_gemma":[0.0336723,0.001076572,0.0010578,0.002821567,0.0005466403,0.003943725,0.0009479929,0.001765685,0.001733012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007884082,"about_ca_system_score_gemma":0.001245026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01356104,"about_ca_topic_score_gemma":0.02638292,"domain_scores_codex":[0.9944932,0.002096779,0.0004321939,0.0009723385,0.001789938,0.0002154512],"domain_scores_gemma":[0.979911,0.01051099,0.001229954,0.002200607,0.005886756,0.0002607937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008642692,0.0006183233,0.02072025,0.0008355047,0.0007873427,0.0001776786,0.0004019426,0.1637536,0.01061383,0.002944739,0.01220323,0.7860793],"study_design_scores_gemma":[0.0000788039,0.0002800793,0.00388543,0.00005217066,0.0002003315,0.0001199548,0.00003485824,0.9847691,0.004145216,0.001701516,0.004672171,0.00006026457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08638454,0.01108857,0.8920403,0.0007086423,0.0007200809,0.000433078,0.0007777979,0.004022171,0.003824757],"genre_scores_gemma":[0.5754175,0.002291098,0.4143892,0.0004122216,0.0009406721,0.0002470257,0.00132384,0.0002225986,0.004755926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01356104,"threshold_uncertainty_score":0.03663456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03461982996384694,"score_gpt":0.2835843166310714,"score_spread":0.2489644866672244,"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."}}