EconBizRecSys evaluation result

EconBizRecSys evaluation result

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EconBizRecSys evaluation result

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dc.date.accessioned 2016-03-21T13:15:17Z
dc.date.available 2016-03-21T13:15:17Z
dc.date.issued 2016-03-21
dc.identifier.uri http://doi.org/10.7802/1224
dc.description This is the evaluation result from the experiment of the paper: C. Nishioka and A. Scherp "Profiling vs. Time vs. Content: What does Matter for Top-k Publication Recommendation based on Twitter Profiles?", JCDL, 2016. The paper reported the experiment of the scientific publication recommender system. The dataset contains evaluations of the recommended scientific publications made by anonymized 123 participants in the experiment. en_US
dc.subject.classification University, Research, the Sciences en_US
dc.subject.other Science and Engineering, Applied Sciences en_US
dc.title EconBizRecSys evaluation result en_US
dbk.publication C. Nishioka and A. Scherp. "Profiling vs. Time vs. Content: What does Matter for Top-k Publication Recommendation based on Twitter Profiles?", In JCDL, pp. 171-180, 2016. DOI:10.1145/2910896.2910898 (http://dx.doi.org/10.1145/2910896.2910898)
dbk.availability Freier Zugang (ohne Registrierung) en_US
dbk.publicationyear 2016 en_US
dbk.primaryresearcher Nishioka, Chifumi;Kiel University and Leibniz Information Centre for Economics (ZBW Kiel)
dbk.primaryresearcher Scherp, Ansgar;Kiel University and Leibniz Information Centre for Economics (ZBW Kiel)
intern.checklist {"intern_checklist":"","so_erhebungsinstrument_fragebogen_typ":"n.a.","tf_erhebungsinstrument_fragebogen_originaldateiname":"","tf_erhebungsinstrument_codebuch_originaldateiname":"","tf_erhebungsinstrument_projecktbericht_originaldateiname":"","tf_erhebungsinstrument_methodenbericht_originaldateiname":"","ta_erhebungsinstrument_kommentar":"","cb_datendateien_allgemein_passen_Daten_zum_Projekt":"on","cb_datendateien_allgemein_daten_vorhanden":"on","cb_datendateien_allgemein_faelle_vorhanden":"on","cb_datendateien_allgemein_variablen_vollstaendig":"on","cb_datendateien_speziell_gewichte_korrekt":"n.a.","cb_datendateien_speziell_variablenlabels_vorhanden":"n.a.","cb_datendateien_speziell_wertelabels_vorhanden":"n.a.","cb_datendateien_plausibilitaetpruefung_geschlecht":"n.a.","cb_datendateien_plausibilitaetpruefung_alter":"n.a.","cb_datendateien_plausibilitaetpruefung_anzahl_haushalt":"n.a.","cb_datendateien_plausibilitaetpruefung_einkomensverteilung":"n.a.","cb_datendateien_plausibilitaetpruefung_filterfuehrung_korrekt":"n.a.","cb_datendateien_datenschutz_regionale_einheiten":"n.a.","cb_datendateien_datenschutz_berufsklassifikation":"n.a.","ta_datendateien_datenschutz_kommentar":"Tweets und STW Thesaurus for Economics sind öffentlich zugänglich. Bzgl. Tweets/Twitter-User: Nur IDs angegeben. Möglicher Fehler (aber eher unwahrscheinlich bzw. beabsichtigt): \"tweet id\"-Variable meint offensichtlich interne id, nicht Twitters tweet id.","ta_datendateien_journaldaten_kommentar":"","tf_fazit_dateinamen":"","tf_fazit_gefunden_in_dateinamen":"","cb_fazit_daten_nachnutzbar":"on","cb_fazit_daten_vertriebsfaehig":"on","cb_fazit_andere":"on","ta_fazit_kommentar":"Checkliste passt nur bedingt, da comp. (social) science/data science Einreichung. Sampling leider näher definiert.","tf_bearbeiter":"Ebel","submit_jump_0.5":"Checklist"} en_US
dbk.surveyperiod 2015-03-01;2015-04-30
dbk.primaryresearcher.person Nishioka, Chifumi en_US
dbk.primaryresearcher.person Scherp, Ansgar en_US
dbk.primaryresearcher.institution Kiel University and Leibniz Information Centre for Economics (ZBW Kiel) en_US
dbk.primaryresearcher.institution Kiel University and Leibniz Information Centre for Economics (ZBW Kiel) en_US
dbk.availability.de Freier Zugang (ohne Registrierung) de_DE
dbk.availability.en Free Access (without Registration) en_US
dc.subjectClassification.de Universität, Forschung, Wissenschaft de_DE
dc.subjectClassification.en University, Research, the Sciences en_US
dc.subjectOther.de Naturwissenschaften, Technik(wissenschaften), angewandte Wissenschaften de_DE
dc.subjectOther.en Science and Engineering, Applied Sciences en_US


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dataset.zip 653.7Kb application/zip Download {"dbk_file_desc":"This is the evaluation dataset from the experiment of the paper: \r\n\r\nC. Nishioka and A. Scherp \"Profiling vs. Time vs. Content: What does Matter for Top-k\r\nPublication Recommendation based on Twitter Profiles?\", JCDL, 2016.\r\n\r\nThe following files are included. \r\nIf you have a question, please send an email to Chifumi Nishioka (chni@informatik.uni-kiel.de). \r\n\r\n(i) concepts_id_uri.tsv\r\nThis file maps concept URIs to concept id used in user profiles. \r\nWe use the concepts from STW of the following version:\r\nhttp://zbw.eu/stw/version/8.12/about.en.html\r\n\r\n(ii) user_profile\r\nThis directory contains user profiles extracted from Twitter. \r\nEach line of each file is composed of: \r\n[tweet id], [concept id : frequency], [concept id : frequency], [concept id : frequency], ...\r\n\r\n- concept id\r\nfrom the file (i)\r\n\r\n- frequency\r\nhow many times the concept appears in a tweet\r\n\r\n(iii) evaluation_results.tsv\r\nThis file contains evaluations of the scientific publications made by participants in the experiment. \r\nEach line is composed of: \r\n[user id], [publication id], [sequence], [position], [rank], [algorithm id], [evaluation]\r\n\r\n- publication id\r\nthe recommended publication id from the EconBiz portal\r\ne.g., id \"10009012482\" indicates the publication showed at: \r\nhttp://www.econbiz.de/10009012482\r\n\r\n- sequence\r\nin which sequence a recommendation list was displayed\r\n\r\n- position\r\nat which position a recommended publication was displayed\r\n\r\n- rank\r\nactual rank computed by the recommender system\r\n\r\n- algorithm id\r\n3: CF-IDF * sliding window * title \r\n4: CF-IDF * sliding window * all\r\n5: CF-IDF * exponential decay * title\r\n6: CF-IDF * exponential decay * all\r\n9: HCF-IDF * sliding window * title\r\n10: HCF-IDF * sliding window * all\r\n11: HCF-IDF * exponential decay * title\r\n12: HCF-IDF * exponential decay * all\r\n15: topic modeling * sliding window * title\r\n16: topic modeling * sliding window * all\r\n17: topic modeling * exponential decay * title \r\n18: topic modeling * exponential decay * all\r\n\r\n- evaluation\r\nwhether the publication is interesting (1) or not interesting (0)","dbk_version_series_desc":"1","dbk_version_number_desc":"2016-03-18","dbk_resourcetype_series_desc":"","dbk_resourcetype_number_desc":"","dc_language_iso_desc":"eng - (English)","dbk_dataset_variable_desc":"","dbk_dataset_item_series_desc":"","dbk_dataset_item_number_desc":"","dbk_software_desc":"","dbk_alternativeid_desc":"","dbk_relatedid_series_desc":"","dbk_relatedid_number_desc":"","description":"","format":"76","format_description":"","bitstream_id":"765"}
File checksum: MD5:ea00b3a0d65577d33dbf7315c094fa56

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