Publication Information

{'id': 'https://openalex.org/W3037784308', 'doi': 'https://doi.org/10.7232/jkiie.2020.46.3.179', 'title': 'Developing a Book Recommendation Model Based on Reading Level Using Book Information and Book Review Data', 'display_name': 'Developing a Book Recommendation Model Based on Reading Level Using Book Information and Book Review Data', 'publication_year': 2020, 'publication_date': '2020-06-26', 'ids': {'openalex': 'https://openalex.org/W3037784308', 'doi': 'https://doi.org/10.7232/jkiie.2020.46.3.179', 'mag': '3037784308'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.7232/jkiie.2020.46.3.179', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4306515762', 'display_name': 'Journal of Korean Institute of Industrial Engineers', 'issn_l': '1225-0988', 'issn': ['1225-0988', '2234-6457'], 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': None, 'host_organization_name': None, 'host_organization_lineage': [], 'host_organization_lineage_names': [], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5114256437', 'display_name': 'In-Su Choi', 'orcid': None}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Insu Choi', 'raw_affiliation_strings': [], 'affiliations': []}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5083828932', 'display_name': 'Sookyun Park', 'orcid': None}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Sookyun Park', 'raw_affiliation_strings': [], 'affiliations': []}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5070198592', 'display_name': 'Younghwan Cho', 'orcid': None}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Younghwan Cho', 'raw_affiliation_strings': [], 'affiliations': []}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5056831488', 'display_name': 'Chaeyeon Lee', 'orcid': 'https://orcid.org/0000-0001-7235-8093'}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Chaeyeon Lee', 'raw_affiliation_strings': [], 'affiliations': []}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5019202704', 'display_name': 'Awon Kim', 'orcid': 'https://orcid.org/0000-0002-2497-8316'}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Awon Kim', 'raw_affiliation_strings': [], 'affiliations': []}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5035626547', 'display_name': 'Woo Chang Kim', 'orcid': 'https://orcid.org/0000-0001-8385-9598'}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Woo Chang Kim', 'raw_affiliation_strings': [], 'affiliations': []}], 'institution_assertions': [], 'countries_distinct_count': 0, 'institutions_distinct_count': 0, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 0.266, 'has_fulltext': False, 'cited_by_count': 1, 'citation_normalized_percentile': {'value': 0.590812, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 60, 'max': 69}, 'biblio': {'volume': '46', 'issue': '3', 'first_page': '179', 'last_page': '189'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T14484', 'display_name': 'Technology and Data Analysis', 'score': 0.6973, 'subfield': {'id': 'https://openalex.org/subfields/1710', 'display_name': 'Information Systems'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, 'topics': [{'id': 'https://openalex.org/T14484', 'display_name': 'Technology and Data Analysis', 'score': 0.6973, 'subfield': {'id': 'https://openalex.org/subfields/1710', 'display_name': 'Information Systems'}, 'field': {'id': 'https://openalex.org/fields/17', 'display_name': 'Computer Science'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/rank', 'display_name': 'Rank (graph theory)', 'score': 0.6180441}, {'id': 'https://openalex.org/keywords/data-set', 'display_name': 'Data set', 'score': 0.52546394}], 'concepts': [{'id': 'https://openalex.org/C554936623', 'wikidata': 'https://www.wikidata.org/wiki/Q199657', 'display_name': 'Reading (process)', 'level': 2, 'score': 0.8225671}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.66495216}, {'id': 'https://openalex.org/C164226766', 'wikidata': 'https://www.wikidata.org/wiki/Q7293202', 'display_name': 'Rank (graph theory)', 'level': 2, 'score': 0.6180441}, {'id': 'https://openalex.org/C177264268', 'wikidata': 'https://www.wikidata.org/wiki/Q1514741', 'display_name': 'Set (abstract data type)', 'level': 2, 'score': 0.5864909}, {'id': 'https://openalex.org/C50644808', 'wikidata': 'https://www.wikidata.org/wiki/Q192776', 'display_name': 'Artificial neural network', 'level': 2, 'score': 0.5780914}, {'id': 'https://openalex.org/C58489278', 'wikidata': 'https://www.wikidata.org/wiki/Q1172284', 'display_name': 'Data set', 'level': 2, 'score': 0.52546394}, {'id': 'https://openalex.org/C151719136', 'wikidata': 'https://www.wikidata.org/wiki/Q3972943', 'display_name': 'Publishing', 'level': 2, 'score': 0.4928739}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.49253544}, {'id': 'https://openalex.org/C23123220', 'wikidata': 'https://www.wikidata.org/wiki/Q816826', 'display_name': 'Information retrieval', 'level': 1, 'score': 0.42335165}, {'id': 'https://openalex.org/C114289077', 'wikidata': 'https://www.wikidata.org/wiki/Q3284399', 'display_name': 'Statistical model', 'level': 2, 'score': 0.42039022}, {'id': 'https://openalex.org/C2522767166', 'wikidata': 'https://www.wikidata.org/wiki/Q2374463', 'display_name': 'Data science', 'level': 1, 'score': 0.3784914}, {'id': 'https://openalex.org/C204321447', 'wikidata': 'https://www.wikidata.org/wiki/Q30642', 'display_name': 'Natural language processing', 'level': 1, 'score': 0.34469092}, {'id': 'https://openalex.org/C119857082', 'wikidata': 'https://www.wikidata.org/wiki/Q2539', 'display_name': 'Machine learning', 'level': 1, 'score': 0.33442026}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.11216983}, {'id': 'https://openalex.org/C41895202', 'wikidata': 'https://www.wikidata.org/wiki/Q8162', 'display_name': 'Linguistics', 'level': 1, 'score': 0.08888781}, {'id': 'https://openalex.org/C138885662', 'wikidata': 'https://www.wikidata.org/wiki/Q5891', 'display_name': 'Philosophy', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C114614502', 'wikidata': 'https://www.wikidata.org/wiki/Q76592', 'display_name': 'Combinatorics', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C17744445', 'wikidata': 'https://www.wikidata.org/wiki/Q36442', 'display_name': 'Political science', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C199539241', 'wikidata': 'https://www.wikidata.org/wiki/Q7748', 'display_name': 'Law', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C199360897', 'wikidata': 'https://www.wikidata.org/wiki/Q9143', 'display_name': 'Programming language', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.7232/jkiie.2020.46.3.179', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4306515762', 'display_name': 'Journal of Korean Institute of Industrial Engineers', 'issn_l': '1225-0988', 'issn': ['1225-0988', '2234-6457'], 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': None, 'host_organization_name': None, 'host_organization_lineage': [], 'host_organization_lineage_names': [], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 0, 'referenced_works': [], 'related_works': ['https://openalex.org/W2801905285', 'https://openalex.org/W2756635080', 'https://openalex.org/W2698935035', 'https://openalex.org/W249766449', 'https://openalex.org/W2354149895', 'https://openalex.org/W2294677930', 'https://openalex.org/W2230419033', 'https://openalex.org/W2057946702', 'https://openalex.org/W2028846973', 'https://openalex.org/W1504443673'], 'abstract_inverted_index': {'This': [0], 'study': [1, 128], 'presented': [2, 129], 'a': [3, 65, 79, 87, 94, 100, 107, 117, 130, 140], 'book': [4, 30, 60, 72, 97], 'recommendation': [5, 98], 'model': [6, 95, 115, 135, 145], 'based': [7, 34, 51, 54], 'on': [8, 20, 35, 52, 55], 'reading': [9, 104, 131, 137], 'level': [10, 31, 61, 70, 138], 'which': [11], 'can': [12], 'be': [13], 'applied': [14], 'to': [15, 110, 142], 'the': [16, 21, 40, 68, 114], 'publishing': [17], 'industry.': [18], 'Based': [19], 'converged': [22], 'technologies': [23], 'of': [24, 71, 74, 96, 120], 'IT': [25], 'industry': [26], 'and': [27, 39, 47, 67, 133], 'AI': [28], 'industry,': [29], 'was': [32, 62, 84], 'calculated': [33], 'text': [36], 'difficulty': [37], 'analysis,': [38], 'reviews': [41], 'were': [42], 'analyzed': [43], 'using': [44], 'NLP': [45], 'techniques': [46], 'artificial': [48], 'neural': [49, 82], 'networks': [50], 'clusters': [53], 'customers’': [56, 103], 'characteristics.': [57], 'The': [58], 'derived': [59, 77, 93], 'set': [63, 85], 'as': [64, 86, 99, 139], 'pre-score': [66], 'expected': [69], 'experience': [73], 'target': [75], 'customers': [76], 'through': [78], 'fully': [80], 'connected': [81], 'network': [83], 'post-score.': [88], 'From': [89, 106], 'those': [90], 'scores,': [91], 'we': [92], 'rank': [101], 'considering': [102, 136], 'level.': [105], 'survey': [108, 123], 'conducted': [109], 'verify': [111], 'this': [112, 127, 144, 148], 'mdoel,': [113], 'had': [116], 'statistical': [118], 'significance': [119], 'correlation': [121], 'with': [122], 'results.': [124], 'In': [125], 'addition,': [126], 'roadmap': [132], 'business': [134], 'way': [141], 'apply': [143], 'developed': [146], 'in': [147], 'study.': [149]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W3037784308', 'counts_by_year': [{'year': 2021, 'cited_by_count': 1}], 'updated_date': '2024-12-27T11:02:03.563633', 'created_date': '2020-07-02'}