المؤلفون: Oleg Lesota, Emilia Parada-Cabaleiro, Stefan Brandl, Elisabeth Lex, Navid Rekabsaz, Markus Schedl

المصدر: ISMIR 2022, International Society for Music Information Retrieval Conference, Bengaluru, India, December 4-8, 2022

مصطلحات موضوعية: ismir, ismir2022

Relation: https://doi.org/10.5281/zenodo.7316651; https://doi.org/10.5281/zenodo.7316652; oai:zenodo.org:7316652

الاتاحة: https://doi.org/10.5281/zenodo.7316652

المؤلفون: Oleg Lesota, Gustavo Escobedo, Yashar Deldjoo, Bruce Ferwerda, Simone Kopeinik, Elisabeth Lex, Navid Rekabsaz, Markus Schedl

المساهمون: Lesota, Oleg, Escobedo, Gustavo, Deldjoo, Yashar, Ferwerda, Bruce, Kopeinik, Simone, Lex, Elisabeth, Rekabsaz, Navid, Schedl, Markus

مصطلحات موضوعية: recommender system, music recommendation, popularity bia, popularity calibration, miscalibration, metric, ecological validity

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:001118084001106; ispartofbook:Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, Association for Computing Machinery; firstpage:1889; lastpage:1893; numberofpages:5; https://hdl.handle.net/11589/270985; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85168679400

الاتاحة: https://hdl.handle.net/11589/270985
https://doi.org/10.1145/3539618.3591964

المؤلفون: Klara Krieg, Emilia Parada-Cabaleiro, Gertraud Medicus, Oleg Lesota, Markus Schedl, Navid Rekabsaz

المصدر: Proceedings of the 2023 Conference on Human Information Interaction and Retrieval.

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::63518147a2870b405aee41180bdccb0f
https://doi.org/10.1145/3576840.3578295

المؤلفون: Alessandro B. Melchiorre, David Penz, Christian Ganhör, Oleg Lesota, Vasco Fragoso, Florian Friztl, Emilia Parada-Cabaleiro, Franz Schubert, Markus Schedl

المصدر: Proceedings of the 2022 International Conference on Multimedia Retrieval.

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::f400b01a05cd6f0475bc9635b6ebaf37
https://doi.org/10.1145/3512527.3531351

المؤلفون: Markus Schedl, Stefan Brandl, Oleg Lesota, Emilia Parada-Cabaleiro, David Penz, Navid Rekabsaz

المصدر: ACM SIGIR Conference on Human Information Interaction and Retrieval.

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::7a9e805029193bca996b3a711e6a0687
https://doi.org/10.1145/3498366.3505791

المؤلفون: Markus Schedl, Elisabeth Lex, Dominik Kowald, Stefan Brandl, Alessandro B. Melchiorre, Navid Rekabsaz, Oleg Lesota

المصدر: RecSys

مصطلحات موضوعية: FOS: Computer and information sciences, Information retrieval, User profile, Computer science, Contrast (statistics), 02 engineering and technology, Recommender system, Popularity, Computer Science - Information Retrieval, Correlation, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Collaborative filtering, 020201 artificial intelligence & image processing, Learning to rank, Active listening, Information Retrieval (cs.IR)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7556457bd90757c9bbae0b1f70ff8fb3
http://arxiv.org/abs/2108.06973

المؤلفون: Jon Brassey, Oleg Lesota, Markus Schedl, Navid Rekabsaz, Carsten Eickhoff

المصدر: SIGIR

مصطلحات موضوعية: FOS: Computer and information sciences, Information retrieval, Training set, Computer science, Margin (machine learning), Benchmark (computing), Web search engine, Relevance (information retrieval), Scale (map), Information Retrieval (cs.IR), IR evaluation, Computer Science - Information Retrieval, Domain (software engineering)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00f298d0645eada4c5c7dc5c684c28e1
https://doi.org/10.1145/3404835.3463242

المؤلفون: Carsten Eickhoff, Navid Rekabsaz, Daniel Cohen, Oleg Lesota, Bhaskar Mitra

المصدر: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval.

مصطلحات موضوعية: FOS: Computer and information sciences, Web search query, Calibration (statistics), Stochastic process, Computer science, business.industry, InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL, Machine learning, computer.software_genre, Computer Science - Information Retrieval, Ranking, Metric (mathematics), Cutoff, Relevance (information retrieval), Artificial intelligence, business, computer, Information Retrieval (cs.IR), Scope (computer science)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a751de3e0dc6a3ffe1864a0743184b8
https://doi.org/10.1145/3404835.3462951

المؤلفون: Oleg Lesota, Markus Schedl, Klaus Antonius Grasserbauer, Carsten Eickhoff, Daniel Cohen, Navid Rekabsaz

المصدر: ICTIR

مصطلحات موضوعية: FOS: Computer and information sciences, Matching (statistics), business.industry, Computer science, Deep learning, InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL, Probabilistic logic, Machine learning, computer.software_genre, Computer Science - Information Retrieval, Ranking (information retrieval), Set (abstract data type), Pointer (computer programming), Relevance (information retrieval), Artificial intelligence, business, computer, Information Retrieval (cs.IR), Generative grammar

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::641e315bafc85cc7ba2f03cbb62949a7
https://doi.org/10.1145/3471158.3472229

المؤلفون: Stefan Brandl, Markus Schedl, Navid Rekabsaz, Alessandro B. Melchiorre, Emilia Parada-Cabaleiro, Oleg Lesota

المصدر: Information Processing & Management. 58:102666

مصطلحات موضوعية: education.field_of_study, Computer science, RSS, Population, Context (language use), computer.file_format, Library and Information Sciences, Management Science and Operations Research, Recommender system, Debiasing, Computer Science Applications, Resampling, Media Technology, Fairness measure, Collaborative filtering, education, computer, Algorithm, Information Systems

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::7135a740acbdb1a0ca6e060c32e6b973
https://doi.org/10.1016/j.ipm.2021.102666