{"id":"https://openalex.org/W2000625227","doi":"https://doi.org/10.1145/2505515.2505649","title":"Learning compact hashing codes for efficient tag completion and prediction","display_name":"Learning compact hashing codes for efficient tag completion and prediction","publication_year":2013,"publication_date":"2013-10-27","ids":{"openalex":"https://openalex.org/W2000625227","doi":"https://doi.org/10.1145/2505515.2505649","mag":"2000625227"},"language":"en","primary_location":{"id":"doi:10.1145/2505515.2505649","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2505515.2505649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM international conference on Information &amp; Knowledge Management","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/A5101774659","display_name":"Qifan Wang","orcid":"https://orcid.org/0000-0002-7570-5756"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qifan Wang","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080903808","display_name":"Lingyun Ruan","orcid":null},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lingyun Ruan","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347601","display_name":"Zhiwei Zhang","orcid":"https://orcid.org/0000-0002-4766-6198"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiwei Zhang","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101718341","display_name":"Luo Si","orcid":"https://orcid.org/0000-0002-3263-234X"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luo Si","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101774659"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":2.1773,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88965639,"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":"1789","last_page":"1794"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11439","display_name":"Video Analysis and Summarization","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8182715177536011},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6597391963005066},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5216091871261597},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.5061513781547546},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4419782757759094},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4367125928401947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.389739990234375},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34524670243263245}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8182715177536011},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6597391963005066},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5216091871261597},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.5061513781547546},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4419782757759094},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4367125928401947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.389739990234375},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34524670243263245},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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":[{"id":"doi:10.1145/2505515.2505649","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2505515.2505649","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM international conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W31463875","https://openalex.org/W1835419070","https://openalex.org/W1840988445","https://openalex.org/W1999529867","https://openalex.org/W2005126631","https://openalex.org/W2007972815","https://openalex.org/W2031637148","https://openalex.org/W2057069782","https://openalex.org/W2057550055","https://openalex.org/W2059851891","https://openalex.org/W2102037812","https://openalex.org/W2103972604","https://openalex.org/W2115398528","https://openalex.org/W2118597426","https://openalex.org/W2120232387","https://openalex.org/W2142037471","https://openalex.org/W2150102617","https://openalex.org/W2157888812","https://openalex.org/W2161258050","https://openalex.org/W2162006472","https://openalex.org/W2165238043","https://openalex.org/W2170942078","https://openalex.org/W2171790913","https://openalex.org/W2293597654","https://openalex.org/W2404281525","https://openalex.org/W2536305071","https://openalex.org/W2913932916","https://openalex.org/W6697214482"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3041052722","https://openalex.org/W4224009465","https://openalex.org/W2357241418","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W3046775127","https://openalex.org/W3170094116"],"abstract_inverted_index":{"Tags":[0],"have":[1],"been":[2,68],"popularly":[3],"utilized":[4],"in":[5,74,84],"many":[6,85],"applications":[7],"with":[8],"image":[9,46],"and":[10,17,62,77],"text":[11,35,48],"data":[12],"for":[13,19,28,43,70],"better":[14],"managing,":[15],"organizing":[16],"searching":[18],"useful":[20],"information.":[21],"Tag":[22],"completion":[23,61,76],"provides":[24],"missing":[25],"tag":[26,38,41,60,75],"information":[27,42],"a":[29,81],"set":[30],"of":[31,59],"existing":[32],"images":[33],"or":[34,47],"documents":[36],"while":[37],"prediction":[39],"recommends":[40],"any":[44],"new":[45],"document.":[49],"Valuable":[50],"prior":[51],"research":[52,66],"has":[53,67],"focused":[54],"on":[55],"improving":[56],"the":[57,71],"accuracy":[58],"prediction,":[63,78],"but":[64],"limited":[65],"conducted":[69],"efficiency":[72],"issue":[73],"which":[79],"is":[80],"critical":[82],"problem":[83],"large":[86],"scale":[87],"real":[88],"world":[89],"applications.":[90]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
