{"id":"https://openalex.org/W4412673536","doi":"https://doi.org/10.1145/3731120.3744576","title":"SEP-GCN: Leveraging Similar Edge Pairs with Temporal and Spatial Contexts for Location-Based Recommender Systems","display_name":"SEP-GCN: Leveraging Similar Edge Pairs with Temporal and Spatial Contexts for Location-Based Recommender Systems","publication_year":2025,"publication_date":"2025-07-18","ids":{"openalex":"https://openalex.org/W4412673536","doi":"https://doi.org/10.1145/3731120.3744576"},"language":"en","primary_location":{"id":"doi:10.1145/3731120.3744576","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731120.3744576","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2506.16003","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101879507","display_name":"Loc Tan Nguyen","orcid":"https://orcid.org/0009-0002-4926-398X"},"institutions":[{"id":"https://openalex.org/I141445968","display_name":"Ton Duc Thang University","ror":"https://ror.org/01drq0835","country_code":"VN","type":"education","lineage":["https://openalex.org/I141445968"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Tan Loc Nguyen","raw_affiliation_strings":["Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh, Vietnam"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh, Vietnam","institution_ids":["https://openalex.org/I141445968"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076352331","display_name":"Tin T. Tran","orcid":"https://orcid.org/0000-0003-4252-6898"},"institutions":[{"id":"https://openalex.org/I141445968","display_name":"Ton Duc Thang University","ror":"https://ror.org/01drq0835","country_code":"VN","type":"education","lineage":["https://openalex.org/I141445968"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Tin T. Tran","raw_affiliation_strings":["Artificial Intelligence Laboratory, Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh, Vietnam"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Laboratory, Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh, Vietnam","institution_ids":["https://openalex.org/I141445968"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101879507"],"corresponding_institution_ids":["https://openalex.org/I141445968"],"apc_list":null,"apc_paid":null,"fwci":6.5016,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.96454146,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"115","last_page":"124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11106","display_name":"Data Management and Algorithms","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.885211706161499},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7209333181381226},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.570871114730835},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3083029091358185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24280092120170593}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.885211706161499},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7209333181381226},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.570871114730835},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3083029091358185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24280092120170593}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3731120.3744576","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731120.3744576","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2506.16003","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.16003","pdf_url":"https://arxiv.org/pdf/2506.16003","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2506.16003","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.16003","pdf_url":"https://arxiv.org/pdf/2506.16003","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2057763140","https://openalex.org/W2605350416","https://openalex.org/W2788114581","https://openalex.org/W2889253081","https://openalex.org/W2899457523","https://openalex.org/W2907492528","https://openalex.org/W2912351665","https://openalex.org/W2945827670","https://openalex.org/W2950697450","https://openalex.org/W2965683718","https://openalex.org/W3011667710","https://openalex.org/W3045200674","https://openalex.org/W3100278010","https://openalex.org/W3101707147","https://openalex.org/W3128267727","https://openalex.org/W3153218267","https://openalex.org/W3158951232","https://openalex.org/W3164797320","https://openalex.org/W3213111493","https://openalex.org/W4220909642","https://openalex.org/W4297733535","https://openalex.org/W4362606558","https://openalex.org/W4384656510","https://openalex.org/W4387439537","https://openalex.org/W4389459294","https://openalex.org/W4389687830","https://openalex.org/W4392252454","https://openalex.org/W4393156329","https://openalex.org/W4400524568","https://openalex.org/W4400525788","https://openalex.org/W4400529753","https://openalex.org/W4401373591"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","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"],"abstract_inverted_index":{"Recommender":[0],"systems":[1],"play":[2],"a":[3,65,81],"crucial":[4],"role":[5],"in":[6,150,167],"enabling":[7,115],"personalized":[8],"content":[9],"delivery":[10],"amidst":[11],"the":[12,57,100,135],"challenges":[13],"of":[14,74],"information":[15,118],"overload":[16],"and":[17,42,147,171],"human":[18],"mobility.":[19],"Although":[20],"conventional":[21],"methods":[22],"often":[23],"rely":[24],"on":[25,49,156],"interaction":[26,77],"matrices":[27],"or":[28,52,95,152],"graph-based":[29,67],"retrieval,":[30],"recent":[31],"approaches":[32],"have":[33],"sought":[34],"to":[35,141],"exploit":[36],"contextual":[37,104,132],"signals":[38],"such":[39],"as":[40],"time":[41],"location.":[43],"However,":[44],"most":[45],"existing":[46],"models":[47],"focus":[48],"node-level":[50],"representation":[51],"isolated":[53],"edge":[54,87],"attributes,":[55],"underutilizing":[56],"relational":[58],"structure":[59],"between":[60],"interactions.":[61],"We":[62],"propose":[63],"SEP-GCN,":[64],"novel":[66],"recommendation":[68],"framework":[69],"that":[70,89,130,161],"learns":[71],"from":[72],"pairs":[73,88],"contextually":[75],"similar":[76,92],"edges,":[78],"each":[79],"representing":[80],"user-item":[82,101],"check-in":[83],"event.":[84],"By":[85],"identifying":[86],"occur":[90],"within":[91],"temporal":[93],"windows":[94],"geographic":[96],"proximity,":[97],"SEP-GCN":[98,140,162],"augments":[99],"graph":[102,122],"with":[103],"similarity":[105,133],"links.":[106],"These":[107],"links":[108],"bridge":[109],"distant":[110],"but":[111],"semantically":[112],"related":[113],"interactions,":[114],"improved":[116],"long-range":[117],"propagation.":[119],"The":[120],"enriched":[121],"is":[123],"processed":[124],"via":[125],"an":[126],"edge-aware":[127],"convolutional":[128],"mechanism":[129],"integrates":[131],"into":[134],"message-passing":[136],"process.":[137],"This":[138],"allows":[139],"model":[142],"user":[143],"preferences":[144],"more":[145],"accurately":[146],"robustly,":[148],"especially":[149],"sparse":[151],"dynamic":[153],"environments.":[154],"Experiments":[155],"benchmark":[157],"data":[158],"sets":[159],"show":[160],"consistently":[163],"outperforms":[164],"strong":[165],"baselines":[166],"both":[168],"predictive":[169],"accuracy":[170],"robustness.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}