{"id":"https://openalex.org/W2739665119","doi":"https://doi.org/10.1145/3077136.3080682","title":"Cross-Device User Linking","display_name":"Cross-Device User Linking","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2739665119","doi":"https://doi.org/10.1145/3077136.3080682","mag":"2739665119"},"language":"en","primary_location":{"id":"doi:10.1145/3077136.3080682","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3077136.3080682","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval","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/A5083460959","display_name":"Minh C. Phan","orcid":"https://orcid.org/0000-0002-5407-2240"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Minh C. Phan","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100618738","display_name":"Aixin Sun","orcid":"https://orcid.org/0000-0003-0764-4258"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Aixin Sun","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103069680","display_name":"Yi Tay","orcid":"https://orcid.org/0000-0001-6896-4496"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yi Tay","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.8631,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75450297,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"933","last_page":"936"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T11719","display_name":"Data Quality and Management","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.934323787689209},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.7114518284797668},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6705888509750366},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.6077349781990051},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.5484670996665955},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5384236574172974},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5082945227622986},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48109835386276245},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4543733298778534},{"id":"https://openalex.org/keywords/mobile-phone","display_name":"Mobile phone","score":0.4350544810295105},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4229412376880646},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3117328882217407},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26863592863082886},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.22436979413032532}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.934323787689209},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.7114518284797668},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6705888509750366},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.6077349781990051},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.5484670996665955},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5384236574172974},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5082945227622986},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48109835386276245},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4543733298778534},{"id":"https://openalex.org/C2777421447","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Mobile phone","level":2,"score":0.4350544810295105},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4229412376880646},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3117328882217407},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26863592863082886},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.22436979413032532},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3077136.3080682","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3077136.3080682","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2063771604","https://openalex.org/W2532475640","https://openalex.org/W2541672923","https://openalex.org/W2949547296"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W1549363203","https://openalex.org/W4231274751","https://openalex.org/W2487162673","https://openalex.org/W2154063878","https://openalex.org/W2942366970","https://openalex.org/W2556012038","https://openalex.org/W2793211469","https://openalex.org/W1489772951"],"abstract_inverted_index":{"Cross-Device":[0],"User":[1],"Linking":[2],"is":[3],"the":[4,49,70,80,106,110],"task":[5],"of":[6,89],"detecting":[7],"same":[8],"users":[9,57],"given":[10],"their":[11,60],"browsing":[12],"logs":[13],"on":[14,48,59,86],"different":[15],"devices":[16],"(e.g.,":[17],"tablet,":[18],"mobile":[19],"phone,":[20],"PC,":[21],"etc.).":[22],"The":[23,103],"problem":[24,71],"was":[25],"introduced":[26],"in":[27,109],"CIKM":[28,111],"Cup":[29,112],"2016":[30],"together":[31],"with":[32],"a":[33,53,87,114],"new":[34],"dataset":[35,50],"provided":[36],"by":[37,113],"Data-Centric":[38],"Alliance":[39],"(DCA).":[40],"In":[41],"this":[42],"paper,":[43],"we":[44],"present":[45],"insightful":[46],"analysis":[47],"and":[51,65,75,96],"propose":[52],"solution":[54,108],"to":[55],"link":[56],"based":[58],"visited":[61],"URLs,":[62,93],"visiting":[63],"time,":[64],"profile":[66],"embeddings.":[67],"We":[68],"cast":[69],"as":[72,79],"pairwise":[73],"classification":[74],"use":[76],"gradient":[77],"boosting":[78],"leaning-to-rank":[81],"model.":[82],"Our":[83],"model":[84,104],"works":[85],"set":[88],"features":[90],"exacted":[91],"from":[92,100],"titles,":[94],"time":[95],"session":[97],"data":[98],"derived":[99],"user":[101],"device-logs.":[102],"outperforms":[105],"best":[107],"large":[115],"margin.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}