{"id":"https://openalex.org/W2944260563","doi":"https://doi.org/10.1145/3299815.3314465","title":"AI Powered Book Recommendation System","display_name":"AI Powered Book Recommendation System","publication_year":2019,"publication_date":"2019-04-18","ids":{"openalex":"https://openalex.org/W2944260563","doi":"https://doi.org/10.1145/3299815.3314465","mag":"2944260563"},"language":"en","primary_location":{"id":"doi:10.1145/3299815.3314465","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3299815.3314465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 ACM Southeast Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007164849","display_name":"Erin Cho","orcid":"https://orcid.org/0000-0002-3324-1869"},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erin Cho","raw_affiliation_strings":["Data-driven Intelligence Research (DIR) Laboratory, Kennesaw State University, Marietta, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data-driven Intelligence Research (DIR) Laboratory, Kennesaw State University, Marietta, GA","institution_ids":["https://openalex.org/I172980758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100785901","display_name":"Meng Han","orcid":"https://orcid.org/0000-0001-7472-0842"},"institutions":[{"id":"https://openalex.org/I172980758","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33","country_code":"US","type":"education","lineage":["https://openalex.org/I172980758"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Meng Han","raw_affiliation_strings":["Data-driven Intelligence Research (DIR) Laboratory, Kennesaw State University, Marietta, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Data-driven Intelligence Research (DIR) Laboratory, Kennesaw State University, Marietta, GA","institution_ids":["https://openalex.org/I172980758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I172980758"],"apc_list":null,"apc_paid":null,"fwci":0.5467,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.70314355,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"230","last_page":"232"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13559","display_name":"Edcuational Technology Systems","score":0.8892999887466431,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13559","display_name":"Edcuational Technology Systems","score":0.8892999887466431,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13913","display_name":"Blockchain Technology in Education and Learning","score":0.8689000010490417,"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"}},{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.8547000288963318,"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/recommender-system","display_name":"Recommender system","score":0.8684391975402832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8112493753433228},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.7889673709869385},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.6910554766654968},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.6412060260772705},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5780155658721924},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.5702025294303894},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.5614883899688721},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4612504541873932},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.42742007970809937},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.06657955050468445}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8684391975402832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8112493753433228},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.7889673709869385},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.6910554766654968},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.6412060260772705},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5780155658721924},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.5702025294303894},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.5614883899688721},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4612504541873932},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.42742007970809937},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.06657955050468445},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3299815.3314465","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3299815.3314465","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 ACM Southeast Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8799999952316284}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311540","display_name":"Kennesaw State University","ror":"https://ror.org/00jeqjx33"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1591752624","https://openalex.org/W2163598528","https://openalex.org/W2709682634","https://openalex.org/W2922874681"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W2772628444","https://openalex.org/W4220714703","https://openalex.org/W2735929803","https://openalex.org/W2170391450","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W4376854386","https://openalex.org/W2202724490"],"abstract_inverted_index":{"The":[0,75,139,149],"purpose":[1],"of":[2,10,17,22,65,107,130,151,174],"this":[3,43,108,152],"study":[4,28,44,109,153],"is":[5,45,94,165],"to":[6,99,117,123,126,136,144],"demonstrate":[7],"the":[8,15,27,46,58,60,71,82,105,172],"development":[9],"book":[11],"recommendation":[12,157],"systems":[13,24,158],"through":[14,159],"usage":[16],"Artificial":[18],"Intelligence":[19],"(AI).":[20],"Models":[21],"recommender":[23,147],"displayed":[25],"in":[26,42,81,171],"are":[29,134],"popularity-based,":[30],"correlation-based":[31],"(otherwise":[32],"known":[33],"as":[34],"collaborative":[35],"filtering),":[36],"and":[37,67,114,120],"content-based.":[38],"Another":[39],"type":[40],"implemented":[41],"Lexile":[47,55],"recommender,":[48],"which":[49],"suggests":[50],"books":[51,66,80],"based":[52],"on":[53],"similar":[54],"levels.":[56],"For":[57],"dataset,":[59],"researcher":[61,140],"used":[62,141],"a":[63],"sample":[64,83],"user":[68],"information":[69],"from":[70],"public":[72],"site":[73],"Goodreads.":[74],"target":[76],"audience":[77],"for":[78,103,169],"these":[79,118,146,175],"was":[84,161],"high":[85],"school":[86],"students.":[87],"As":[88],"prior":[89],"research":[90],"shows":[91],"that":[92,133,155],"there":[93,164],"no":[95],"single":[96],"best":[97],"way":[98],"create":[100,127],"reading":[101,116,128],"lists":[102,129],"students,":[104],"results":[106,150],"would":[110],"encourage":[111],"both":[112],"leisure":[113],"educational":[115],"students":[119],"allow":[121],"readers":[122],"be":[124],"able":[125],"their":[131,137],"own":[132],"personalized":[135],"preferences.":[138],"Python":[142],"libraries":[143],"implement":[145],"structures.":[148,176],"showed":[154],"creating":[156],"AI":[160],"successful,":[162],"but":[163],"still":[166],"much":[167],"room":[168],"improvement":[170],"complexity":[173]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
