{"id":"W1986416215","doi":"10.1145/604045.604052","title":"Towards more conversational and collaborative recommender systems","year":2003,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Recommender system; Collaborative filtering; Set (abstract data type); Human–computer interaction; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003399151,0.0001013965,0.000138461,0.00006214029,0.00008266123,0.0002118088,0.0001751433,0.0000529581,0.00002681368],"category_scores_gemma":[0.00001903697,0.00008061406,0.00001811612,0.000215031,0.00002447932,0.0003565981,0.00005567904,0.00005623772,0.000007322322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003596738,"about_ca_system_score_gemma":0.00008410288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008578542,"about_ca_topic_score_gemma":0.000003815993,"domain_scores_codex":[0.9991729,0.0001155781,0.0001731896,0.0002464073,0.0001535479,0.0001383703],"domain_scores_gemma":[0.9994597,0.00005185732,0.00005911421,0.0002298529,0.0001260303,0.00007348972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[5.538604e-7,0.00001466517,0.000719087,0.00001115246,0.00001961191,0.000001948118,0.0006032546,0.000001615956,0.00002166167,0.9660201,0.03024287,0.002343468],"study_design_scores_gemma":[0.001013561,0.0002058302,0.002455276,0.0000516427,0.000008309225,0.0001660959,0.003012145,0.01861226,0.005754843,0.01877185,0.9492605,0.0006876976],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007812086,0.0004096061,0.8579748,0.003112831,0.0005938975,0.0003237012,0.000003614672,0.0002750224,0.1365254],"genre_scores_gemma":[0.9113508,0.00005309542,0.08653405,0.0007353792,0.00002859246,0.00006234583,0.000001880371,0.000007300958,0.001226571],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9472483,"threshold_uncertainty_score":0.3287346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02052243847938162,"score_gpt":0.2619535420793662,"score_spread":0.2414311035999845,"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."}}