EconBizRecSys evaluation result

EconBizRecSys evaluation result

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EconBizRecSys evaluation result

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Title EconBizRecSys evaluation result
URI http://doi.org/10.7802/1224
Primary Researcher Nishioka, Chifumi;Kiel University and Leibniz Information Centre for Economics (ZBW Kiel)
Scherp, Ansgar;Kiel University and Leibniz Information Centre for Economics (ZBW Kiel)
Publication Year 2016
Availability Freier Zugang (ohne Registrierung)
Subject Area Science and Engineering, Applied Sciences
Topic Classification University, Research, the Sciences
Abstract 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.
Survey Period 2015-03-01;2015-04-30
Publications 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)

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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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