{"id":"https://openalex.org/W2884517879","doi":"https://doi.org/10.1145/3219819.3219960","title":"Finding Similar Exercises in Online Education Systems","display_name":"Finding Similar Exercises in Online Education Systems","publication_year":2018,"publication_date":"2018-07-19","ids":{"openalex":"https://openalex.org/W2884517879","doi":"https://doi.org/10.1145/3219819.3219960","mag":"2884517879"},"language":"en","primary_location":{"id":"doi:10.1145/3219819.3219960","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3219819.3219960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","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/A5100453156","display_name":"Qi Liu","orcid":"https://orcid.org/0000-0001-6956-5550"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Liu","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012523171","display_name":"Zai Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zai Huang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085496384","display_name":"Zhenya Huang","orcid":"https://orcid.org/0000-0003-1661-0420"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenya Huang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033864788","display_name":"Chuanren Liu","orcid":"https://orcid.org/0000-0001-9030-8495"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chuanren Liu","raw_affiliation_strings":["Drexel University, Philadelphia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Drexel University, Philadelphia, USA","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048237545","display_name":"Enhong Chen","orcid":"https://orcid.org/0000-0002-4835-4102"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enhong Chen","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075435632","display_name":"Yu Su","orcid":"https://orcid.org/0000-0003-4306-0161"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Su","raw_affiliation_strings":["Anhui University, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076447478","display_name":"Guoping Hu","orcid":"https://orcid.org/0000-0002-7939-4588"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guoping Hu","raw_affiliation_strings":["iFLYTEK Research, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"iFLYTEK Research, Hefei, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":79,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1821","last_page":"1830"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9983999729156494,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9983999729156494,"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/T10028","display_name":"Topic Modeling","score":0.9977999925613403,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9976000189781189,"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":0.8064619302749634},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.597008466720581},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5659807920455933},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5543420314788818},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5097176432609558},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5044618844985962},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4987194538116455},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4932250380516052},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.46540719270706177},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.43767210841178894},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4187396168708801},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3987653851509094},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34012702107429504},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22236469388008118}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8064619302749634},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.597008466720581},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5659807920455933},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5543420314788818},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5097176432609558},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5044618844985962},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4987194538116455},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4932250380516052},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.46540719270706177},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43767210841178894},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4187396168708801},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3987653851509094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34012702107429504},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22236469388008118},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3219819.3219960","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3219819.3219960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},{"id":"mag:3161958988","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002288834553583","pdf_url":null,"source":{"id":"https://openalex.org/S4306500161","display_name":"ACM Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"ACM Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W76726555","https://openalex.org/W349881680","https://openalex.org/W651457188","https://openalex.org/W877909479","https://openalex.org/W1489875093","https://openalex.org/W1586702196","https://openalex.org/W1593151671","https://openalex.org/W1640344466","https://openalex.org/W1815076433","https://openalex.org/W1992537918","https://openalex.org/W2028154549","https://openalex.org/W2039708501","https://openalex.org/W2052602449","https://openalex.org/W2057135445","https://openalex.org/W2064675550","https://openalex.org/W2066551570","https://openalex.org/W2072659991","https://openalex.org/W2095705004","https://openalex.org/W2112912048","https://openalex.org/W2153579005","https://openalex.org/W2159370903","https://openalex.org/W2183386595","https://openalex.org/W2211192759","https://openalex.org/W2271840356","https://openalex.org/W2293078015","https://openalex.org/W2388114291","https://openalex.org/W2404715899","https://openalex.org/W2467982750","https://openalex.org/W2508865106","https://openalex.org/W2559094423","https://openalex.org/W2587290924","https://openalex.org/W2607603241","https://openalex.org/W2612290545","https://openalex.org/W2612708909","https://openalex.org/W2618530766","https://openalex.org/W2726132969","https://openalex.org/W2735810033","https://openalex.org/W2767413674","https://openalex.org/W2787760162","https://openalex.org/W2799914969","https://openalex.org/W2949194345","https://openalex.org/W2949547965","https://openalex.org/W2963672682","https://openalex.org/W6603121673"],"related_works":["https://openalex.org/W1496222301","https://openalex.org/W3207760230","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W41015297","https://openalex.org/W1968265719"],"abstract_inverted_index":{"In":[0,112],"online":[1,99],"education":[2,100],"systems,":[3],"finding":[4,94],"similar":[5,43,71,95,188,206],"exercises":[6,72,96,115],"is":[7],"a":[8,85,104,125,152,160,184,200],"fundamental":[9],"task":[10,28],"of":[11,50,156,173,222],"many":[12],"applications,":[13],"such":[14],"as":[15],"exercise":[16,158,192],"retrieval":[17],"and":[18,66,119,133,175,178,218],"student":[19],"modeling.":[20],"Several":[21],"approaches":[22],"have":[23],"been":[24],"proposed":[25,168],"for":[26,93,138,204],"this":[27,78,81],"by":[29,102],"simply":[30],"using":[31],"the":[32,37,42,48,55,109,171,187,216,219],"specific":[33],"textual":[34],"content":[35],"(e.g.":[36,64],"same":[38],"knowledge":[39,120,179],"concepts":[40],"or":[41],"words)":[44],"in":[45,60,80,97,159,190],"exercises.":[46,207],"However,":[47],"problem":[49],"how":[51],"to":[52,68,129,150,169],"systematically":[53],"exploit":[54],"rich":[56],"semantic":[57,106,154],"information":[58],"embedded":[59],"multiple":[61],"heterogenous":[62,110],"data":[63,213],"texts":[65,174,177],"images)":[67],"precisely":[69],"retrieve":[70],"remains":[73],"pretty":[74],"much":[75],"open.":[76],"To":[77],"end,":[79],"paper,":[82],"we":[83,122,142,198],"develop":[84,199],"novel":[86],"Multimodal":[87],"Attention-based":[88],"Neural":[89],"Network":[90],"(MANN)":[91],"framework":[92],"large-scale":[98],"systems":[101],"learning":[103],"unified":[105,153],"representation":[107,155],"from":[108],"data.":[111],"MANN,":[113],"given":[114],"with":[116,183],"texts,":[117],"images":[118],"concepts,":[121,180],"first":[123],"apply":[124],"convolutional":[126],"neural":[127],"network":[128,149],"extract":[130],"image":[131],"representations":[132],"use":[134],"an":[135,144],"embedding":[136],"layer":[137],"representing":[139],"concepts.":[140],"Then,":[141],"design":[143],"attention-based":[145],"long":[146],"short-term":[147],"memory":[148],"learn":[151],"each":[157,191],"multimodal":[161],"way.":[162],"Here,":[163],"two":[164],"attention":[165],"strategies":[166],"are":[167,194],"capture":[170],"associations":[172],"images,":[176],"respectively.":[181],"Moreover,":[182],"Similarity":[185],"Attention,":[186],"parts":[189],"pair":[193],"also":[195],"measured.":[196],"Finally,":[197],"pairwise":[201],"training":[202],"strategy":[203],"returning":[205],"Extensive":[208],"experimental":[209],"results":[210],"on":[211],"real-world":[212],"clearly":[214],"validate":[215],"effectiveness":[217],"interpretation":[220],"power":[221],"MANN.":[223]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}