{"id":"https://openalex.org/W2974324863","doi":"https://doi.org/10.1109/ic3.2019.8844932","title":"Temporal Recommendations for Discovering Author Interests","display_name":"Temporal Recommendations for Discovering Author Interests","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W2974324863","doi":"https://doi.org/10.1109/ic3.2019.8844932","mag":"2974324863"},"language":"en","primary_location":{"id":"doi:10.1109/ic3.2019.8844932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3.2019.8844932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Twelfth International Conference on Contemporary Computing (IC3)","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/A5087045099","display_name":"Rishabh Malhotra","orcid":null},"institutions":[{"id":"https://openalex.org/I154970844","display_name":"Jaypee Institute of Information Technology","ror":"https://ror.org/05sttyy11","country_code":"IN","type":"education","lineage":["https://openalex.org/I154970844"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Rishabh Malhotra","raw_affiliation_strings":["Department of CSE & IT, JIIT, Noida, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE & IT, JIIT, Noida, India","institution_ids":["https://openalex.org/I154970844"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080382356","display_name":"Anu Taneja","orcid":null},"institutions":[{"id":"https://openalex.org/I154970844","display_name":"Jaypee Institute of Information Technology","ror":"https://ror.org/05sttyy11","country_code":"IN","type":"education","lineage":["https://openalex.org/I154970844"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anu Taneja","raw_affiliation_strings":["Department of CSE & IT, JIIT, Noida, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE & IT, JIIT, Noida, India","institution_ids":["https://openalex.org/I154970844"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013782239","display_name":"Anuja Arora","orcid":"https://orcid.org/0009-0006-5800-1198"},"institutions":[{"id":"https://openalex.org/I154970844","display_name":"Jaypee Institute of Information Technology","ror":"https://ror.org/05sttyy11","country_code":"IN","type":"education","lineage":["https://openalex.org/I154970844"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anuja Arora","raw_affiliation_strings":["Department of CSE & IT, JIIT, Noida, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE & IT, JIIT, Noida, India","institution_ids":["https://openalex.org/I154970844"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087045099"],"corresponding_institution_ids":["https://openalex.org/I154970844"],"apc_list":null,"apc_paid":null,"fwci":0.14,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57114159,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9998000264167786,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9998000264167786,"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/T10028","display_name":"Topic Modeling","score":0.9993000030517578,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9986000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.9140691161155701},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8247674703598022},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.688154935836792},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6342935562133789},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.6012186408042908},{"id":"https://openalex.org/keywords/dilemma","display_name":"Dilemma","score":0.5876131057739258},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5555204749107361},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5436039566993713},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4896314740180969},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.4510922431945801},{"id":"https://openalex.org/keywords/latent-semantic-analysis","display_name":"Latent semantic analysis","score":0.41549327969551086},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3801729381084442},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33872196078300476}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.9140691161155701},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8247674703598022},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.688154935836792},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6342935562133789},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.6012186408042908},{"id":"https://openalex.org/C2778496695","wikidata":"https://www.wikidata.org/wiki/Q254128","display_name":"Dilemma","level":2,"score":0.5876131057739258},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5555204749107361},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5436039566993713},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4896314740180969},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.4510922431945801},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.41549327969551086},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3801729381084442},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33872196078300476},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3.2019.8844932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3.2019.8844932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Twelfth International Conference on Contemporary Computing (IC3)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W244856213","https://openalex.org/W565862827","https://openalex.org/W2013955429","https://openalex.org/W2072644219","https://openalex.org/W2080316042","https://openalex.org/W2100935296","https://openalex.org/W2133286915","https://openalex.org/W2140124448","https://openalex.org/W2147152072","https://openalex.org/W2147946282","https://openalex.org/W2171343266","https://openalex.org/W2187089797","https://openalex.org/W2288972158","https://openalex.org/W2295843139","https://openalex.org/W2338305720","https://openalex.org/W2462672764","https://openalex.org/W2554348171","https://openalex.org/W2758099062","https://openalex.org/W2900738887","https://openalex.org/W2953074199","https://openalex.org/W2953332543","https://openalex.org/W2962686197","https://openalex.org/W6682044806","https://openalex.org/W6746039699"],"related_works":["https://openalex.org/W2888805565","https://openalex.org/W4312773271","https://openalex.org/W4315588616","https://openalex.org/W2995939990","https://openalex.org/W2921491680","https://openalex.org/W2914864478","https://openalex.org/W2402771052","https://openalex.org/W2474958513","https://openalex.org/W2035259174","https://openalex.org/W2049446342"],"abstract_inverted_index":{"With":[0],"the":[1,14,18,24,28,64,76,90,109,117,129,134,138,163,175,181],"advancements":[2],"in":[3,42,172],"technology,":[4],"a":[5,21,39,53,147,152],"rich":[6],"amount":[7],"of":[8,20,47,79,137,154,169,174,183],"research":[9,36],"content":[10],"is":[11,144],"available":[12],"on":[13,94,146],"web":[15],"that":[16,37,72,162],"creates":[17],"situation":[19],"dilemma":[22],"for":[23,34,66],"researchers":[25],"to":[26,115,132,151,180],"choose":[27],"most":[29],"appropriate":[30],"and":[31,88,98,102,120,185],"trending":[32],"topic":[33],"further":[35],"has":[38,50],"wide":[40],"scope":[41],"future":[43,176],"too.":[44,81],"The":[45,105,142,158],"prediction":[46],"authors'":[48,91,96,177],"interests":[49,57,78,92,97,178],"always":[51],"been":[52],"challenging":[54],"task":[55],"as":[56],"might":[58],"change":[59],"with":[60,128,140],"time.":[61,141],"This":[62,82],"demands":[63],"need":[65],"an":[67,167],"efficient":[68],"temporal":[69,118],"recommender":[70],"system":[71],"takes":[73],"into":[74],"account":[75],"drifting":[77],"users":[80],"study":[83],"addresses":[84],"this":[85],"major":[86],"challenge":[87],"analyses":[89],"based":[93],"similar":[95],"their":[99],"own":[100],"long-term":[101,184],"short-term":[103,186],"interests.":[104,187],"proposed":[106,164],"model":[107,114,143,165],"extends":[108],"latent":[110,122],"Dirichlet":[111],"allocation":[112],"(LDA)":[113],"capture":[116],"aspects":[119],"utilizes":[121],"semantic":[123,135],"analysis":[124,160],"(LSA)":[125],"method":[126],"along":[127],"word-net":[130],"feature":[131],"incorporate":[133],"understanding":[136],"topics":[139],"implemented":[145],"real":[148],"NIPS":[149],"dataset":[150],"collection":[153],"2000":[155],"conference":[156],"papers.":[157],"empirical":[159],"validates":[161],"achieves":[166],"accuracy":[168],"about":[170],"62%":[171],"predictions":[173],"due":[179],"fusion":[182]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
