{"id":"W2160912526","doi":"10.1007/978-3-642-38844-6_15","title":"Combining Collaborative Filtering and Text Similarity for Expert Profile Recommendations in Social Websites","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Similarity (geometry); Collaborative filtering; Information retrieval; World Wide Web; Artificial intelligence; Recommender system","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":[0.002836869,0.001112717,0.002312109,0.007635869,0.001324445,0.002354115,0.001682163,0.002212115,0.002217821],"category_scores_gemma":[0.01379381,0.0005609617,0.001807092,0.00583327,0.0003790137,0.004129871,0.001256269,0.001204011,0.001956992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007141794,"about_ca_system_score_gemma":0.0008244083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007579515,"about_ca_topic_score_gemma":0.0151489,"domain_scores_codex":[0.9963941,0.0008710492,0.0003430156,0.0007671833,0.001437687,0.0001869663],"domain_scores_gemma":[0.9899804,0.006349983,0.0005137637,0.0008814522,0.002009352,0.000265078],"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":[0.0008915158,0.001581088,0.01453685,0.0007868069,0.0008503911,0.0002769555,0.0005150312,0.04066686,0.01876163,0.004125605,0.01338739,0.9036199],"study_design_scores_gemma":[0.00007683253,0.0004464721,0.007435464,0.00007400957,0.0004955979,0.0004220727,0.0002178285,0.9650038,0.0116011,0.01035618,0.003766676,0.0001040099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1301329,0.003943094,0.854369,0.0004732209,0.000366857,0.000491641,0.001130391,0.002247426,0.006845391],"genre_scores_gemma":[0.5651734,0.00126321,0.4226223,0.0002483113,0.0007034762,0.0002746769,0.002139136,0.0001790965,0.007396344],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007635869,"threshold_uncertainty_score":0.0150708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03347223620220518,"score_gpt":0.2945013828345838,"score_spread":0.2610291466323786,"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."}}