{"id":"https://openalex.org/W4407252812","doi":"https://doi.org/10.1145/3716499","title":"Comprehend Then Predict: Prompting Large Language Models for Recommendation with Semantic and Collaborative Data","display_name":"Comprehend Then Predict: Prompting Large Language Models for Recommendation with Semantic and Collaborative Data","publication_year":2025,"publication_date":"2025-02-07","ids":{"openalex":"https://openalex.org/W4407252812","doi":"https://doi.org/10.1145/3716499"},"language":"en","primary_location":{"id":"doi:10.1145/3716499","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3716499","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-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/A5050278959","display_name":"Zhiang Dong","orcid":"https://orcid.org/0009-0005-0367-1138"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiang Dong","raw_affiliation_strings":["Collage of Computer Science and Technology, Zhejiang University, Hangzhou, China","Zhejiang University, China"],"raw_orcid":"https://orcid.org/0009-0005-0367-1138","affiliations":[{"raw_affiliation_string":"Collage of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039336744","display_name":"Liya Hu","orcid":"https://orcid.org/0009-0003-7927-8098"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liya Hu","raw_affiliation_strings":["Zhejiang University, Hangzhou, China","Zhejiang University, China"],"raw_orcid":"https://orcid.org/0009-0003-7927-8098","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009749449","display_name":"Jingyuan Chen","orcid":"https://orcid.org/0000-0003-0415-6937"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyuan Chen","raw_affiliation_strings":["Zhejiang University, Hangzhou, China","Zhejiang University, China"],"raw_orcid":"https://orcid.org/0000-0003-0415-6937","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhihua Wang","orcid":"https://orcid.org/0000-0002-1593-1321"},"institutions":[{"id":"https://openalex.org/I4210111959","display_name":"Shanghai Advanced Research Institute","ror":"https://ror.org/02br7py06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210111959"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihua Wang","raw_affiliation_strings":["Shanghai Institute for Advanced Study of Zhejiang University, Shanghai, China","Shanghai Institute for Advanced Study of Zhejiang University, China"],"raw_orcid":"https://orcid.org/0000-0002-1593-1321","affiliations":[{"raw_affiliation_string":"Shanghai Institute for Advanced Study of Zhejiang University, Shanghai, China","institution_ids":["https://openalex.org/I4210111959"]},{"raw_affiliation_string":"Shanghai Institute for Advanced Study of Zhejiang University, China","institution_ids":["https://openalex.org/I4210111959","https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004882141","display_name":"Fei Wu","orcid":"https://orcid.org/0000-0003-2139-8807"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Wu","raw_affiliation_strings":["Zhejiang University, Hangzhou, China","Zhejiang University, China"],"raw_orcid":"https://orcid.org/0000-0003-2139-8807","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang University, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.09,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.97535837,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"43","issue":"5","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9936000108718872,"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":0.8370247483253479},{"id":"https://openalex.org/keywords/comprehension","display_name":"Comprehension","score":0.6370702981948853},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5846894383430481},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5521749258041382},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.385891854763031},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3858748972415924},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33579570055007935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33297497034072876}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8370247483253479},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.6370702981948853},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5846894383430481},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5521749258041382},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.385891854763031},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3858748972415924},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33579570055007935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33297497034072876},{"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:10.1145/3716499","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3716499","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1593271688","https://openalex.org/W1994389483","https://openalex.org/W2054141820","https://openalex.org/W2171928131","https://openalex.org/W2575006718","https://openalex.org/W2605350416","https://openalex.org/W2740167620","https://openalex.org/W2788376297","https://openalex.org/W2913754224","https://openalex.org/W2945260553","https://openalex.org/W2963341956","https://openalex.org/W2981852735","https://openalex.org/W3021016503","https://openalex.org/W3034999214","https://openalex.org/W3045200674","https://openalex.org/W3094497946","https://openalex.org/W3185341429","https://openalex.org/W3212509912","https://openalex.org/W4205991051","https://openalex.org/W4220732108","https://openalex.org/W4221143046","https://openalex.org/W4221158409","https://openalex.org/W4238846128","https://openalex.org/W4283324387","https://openalex.org/W4287795696","https://openalex.org/W4296591867","https://openalex.org/W4360612299","https://openalex.org/W4362471316","https://openalex.org/W4367309853","https://openalex.org/W4367694290","https://openalex.org/W4376312036","https://openalex.org/W4376654514","https://openalex.org/W4385567149","https://openalex.org/W4386729453","https://openalex.org/W4386729952","https://openalex.org/W4387848745","https://openalex.org/W4389520286","https://openalex.org/W4389524458","https://openalex.org/W4396722619","https://openalex.org/W4396758712","https://openalex.org/W4401042216","https://openalex.org/W4402672095","https://openalex.org/W4403792529","https://openalex.org/W4405612257","https://openalex.org/W4405643374","https://openalex.org/W6682631176","https://openalex.org/W6739901393","https://openalex.org/W6851371155","https://openalex.org/W6852797925"],"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/W4288390103","https://openalex.org/W4317039510","https://openalex.org/W4238861846"],"abstract_inverted_index":{"Recommender":[0],"systems":[1],"primarily":[2],"utilize":[3],"user\u2013item":[4],"interactions":[5],"(i.e.,":[6,13],"collaborative":[7,55,136,150,175,191,249],"information)":[8,15],"and":[9,20,56,120,134,144,149,169,193,227,238,248],"auxiliary":[10],"textual":[11],"information":[12,122,192,250],"semantic":[14,57,131,148,167,247],"to":[16,35,75,90,156,184,211],"infer":[17],"user":[18,81,143,217],"preferences":[19,161],"provide":[21,185],"recommendations.":[22],"With":[23],"the":[24,77,91,130,135,159,206,242],"advancement":[25],"in":[26,51,80,86,110,126,205,216,251],"large":[27],"language":[28,39],"models":[29],"(LLMs),":[30],"attempts":[31],"have":[32],"been":[33],"made":[34],"incorporate":[36],"their":[37],"remarkable":[38],"comprehension":[40],"capabilities":[41],"into":[42,147],"recommendation":[43,87,112,229,252],"tasks.":[44,253],"However,":[45],"existing":[46],"LLM4Rec":[47],"methods":[48,73],"face":[49],"challenges":[50],"seamlessly":[52],"integrating":[53],"both":[54,236],"information,":[58,168],"as":[59,123],"there":[60],"is":[61],"an":[62],"inherent":[63],"gap":[64],"between":[65],"these":[66,72,98],"two":[67,127],"types":[68],"of":[69,94,162,244],"data.":[70],"Moreover,":[71],"struggle":[74],"capture":[76,213],"fine-grained":[78,214],"distinctions":[79,215],"preferences,":[82],"which":[83,209],"are":[84],"essential":[85],"tasks,":[88,113],"due":[89],"loss":[92,202],"design":[93],"LLMs.":[95],"To":[96],"address":[97],"issues,":[99],"we":[100,179],"propose":[101,180],"a":[102,153,181,195],"multi-stage":[103],"prompt-tuning":[104,132,137],"method":[105,140,234],"for":[106,189,203,224],"leveraging":[107],"pre-trained":[108,154],"LLMs":[109],"various":[111],"named":[114],"SCRec.":[115],"Specifically,":[116],"SCRec":[117],"leverages":[118],"Semantic":[119],"Collaborative":[121],"supervision":[124],"signals":[125],"distinct":[128],"stages:":[129],"stage":[133],"stage.":[138],"This":[139],"breaks":[141],"down":[142],"item":[145],"representations":[146],"perspectives,":[151],"enabling":[152],"LLM":[155,204],"first":[157],"deduce":[158],"qualitative":[160],"users":[163],"over":[164],"items":[165],"from":[166,174],"then":[170],"generate":[171],"quantitative":[172],"recommendations":[173],"information.":[176],"In":[177],"addition,":[178],"meta-mapping":[182],"approach":[183],"personalized":[186],"mapping":[187],"functions":[188],"encoding":[190],"integrate":[194],"novel":[196],"numeric-informed":[197],"head":[198],"based":[199],"on":[200,220],"MSE":[201],"second":[207],"stage,":[208],"helps":[210],"better":[212],"preferences.":[218],"Experiments":[219],"three":[221],"public":[222],"datasets":[223],"rating":[225],"prediction":[226],"top-N":[228],"tasks":[230],"demonstrate":[231],"that":[232],"our":[233],"surpasses":[235],"conventional":[237],"LLM-based":[239],"techniques,":[240],"showing":[241],"strength":[243],"sequentially":[245],"merging":[246]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
