{"id":"https://openalex.org/W2163976872","doi":"https://doi.org/10.1109/icdew.2007.4401071","title":"Music Recommendation Mapping and Interface Based on Structural Network Entropy","display_name":"Music Recommendation Mapping and Interface Based on Structural Network Entropy","publication_year":2007,"publication_date":"2007-04-01","ids":{"openalex":"https://openalex.org/W2163976872","doi":"https://doi.org/10.1109/icdew.2007.4401071","mag":"2163976872"},"language":"en","primary_location":{"id":"doi:10.1109/icdew.2007.4401071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdew.2007.4401071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 23rd International Conference on Data Engineering Workshop","raw_type":"proceedings-article"},"type":"article","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/A5027099129","display_name":"Justin Donaldson","orcid":null},"institutions":[{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Justin Donaldson","raw_affiliation_strings":["Department of Human Computer Interaction, Indiana University School of Informatics, USA"],"affiliations":[{"raw_affiliation_string":"Department of Human Computer Interaction, Indiana University School of Informatics, USA","institution_ids":["https://openalex.org/I592451"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5027099129"],"corresponding_institution_ids":["https://openalex.org/I592451"],"apc_list":null,"apc_paid":null,"fwci":2.0897,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.87493312,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"811","last_page":"817"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9902999997138977,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8194870948791504},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.676671028137207},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.586590588092804},{"id":"https://openalex.org/keywords/plot","display_name":"Plot (graphics)","score":0.5407999753952026},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5332738161087036},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4940255284309387},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44237440824508667},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3735780715942383},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11246371269226074}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8194870948791504},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.676671028137207},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.586590588092804},{"id":"https://openalex.org/C167651023","wikidata":"https://www.wikidata.org/wiki/Q1474611","display_name":"Plot (graphics)","level":2,"score":0.5407999753952026},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5332738161087036},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4940255284309387},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44237440824508667},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3735780715942383},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11246371269226074},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icdew.2007.4401071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdew.2007.4401071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 23rd International Conference on Data Engineering Workshop","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.100.2546","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.100.2546","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ismir2007.ismir.net/proceedings/ISMIR2007_p181_donaldson.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.419.439","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.419.439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ccs.njit.edu/inst/source/11RSIU03.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W90566163","https://openalex.org/W1496863122","https://openalex.org/W1541565701","https://openalex.org/W1992611645","https://openalex.org/W2134912976","https://openalex.org/W2143400361","https://openalex.org/W2161581092","https://openalex.org/W2615090770","https://openalex.org/W3022413497","https://openalex.org/W4230590651","https://openalex.org/W4236888462","https://openalex.org/W6629676820","https://openalex.org/W6632502944","https://openalex.org/W6681245261"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4317039510","https://openalex.org/W4238861846","https://openalex.org/W790944756"],"abstract_inverted_index":{"Recommendation":[0],"systems":[1],"generally":[2],"produce":[3],"the":[4,13,20,36,40,43,45,64,68,74,80,88,112,116,131,135],"results":[5,113],"of":[6,15,22,39,63,66,86,92,145],"their":[7,10],"output":[8],"to":[9,35,59,73],"users":[11],"in":[12],"form":[14],"an":[16,143],"ordinal":[17],"list.":[18],"In":[19],"interest":[21],"simplicity,":[23],"these":[24],"lists":[25],"often":[26,55],"obscure,":[27],"abstract,":[28],"or":[29,42],"omit":[30],"many":[31],"relevant":[32],"metrics":[33],"pertaining":[34],"measured":[37],"\"strength\"":[38],"recommendations":[41],"relationships":[44],"recommended":[46],"items":[47,69],"share":[48],"with":[49,111],"each":[50],"other.":[51],"This":[52,77],"information":[53],"is":[54],"useful":[56],"for":[57,107],"coming":[58],"a":[60,83,99,105],"better":[61],"understanding":[62],"nature":[65],"how":[67],"are":[70,140],"structured":[71],"according":[72],"recommendation":[75,93,121],"data.":[76,122],"paper":[78],"describes":[79,98],"ZMDS":[81,117,132],"algorithm,":[82],"novel":[84,124],"way":[85],"analyzing":[87],"fundamental":[89],"network":[90],"structure":[91],"results.":[94],"Furthermore,":[95],"it":[96],"also":[97],"nonlinear":[100],"repulsion":[101,136],"plot":[102,137],"method":[103],"as":[104,142],"utility":[106],"mapping":[108],"and":[109,134,139],"interacting":[110],"generated":[114],"by":[115],"algorithm":[118,133],"on":[119],"music":[120],"A":[123],"\"recommendation":[125],"map\"":[126],"Web":[127],"application":[128],"implements":[129],"both":[130,146],"interface":[138],"offered":[141],"example":[144],"components":[147],"working":[148],"together.":[149]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}