{"id":"https://openalex.org/W2745165157","doi":"https://doi.org/10.1145/3097983.3098044","title":"Unsupervised P2P Rental Recommendations via Integer Programming","display_name":"Unsupervised P2P Rental Recommendations via Integer Programming","publication_year":2017,"publication_date":"2017-08-04","ids":{"openalex":"https://openalex.org/W2745165157","doi":"https://doi.org/10.1145/3097983.3098044","mag":"2745165157"},"language":"en","primary_location":{"id":"doi:10.1145/3097983.3098044","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3097983.3098044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","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/A5032187620","display_name":"Yanjie Fu","orcid":"https://orcid.org/0000-0002-1767-8024"},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yanjie Fu","raw_affiliation_strings":["Missouri University of Science and Technology, Rolla, MO, USA"],"affiliations":[{"raw_affiliation_string":"Missouri University of Science and Technology, Rolla, MO, USA","institution_ids":["https://openalex.org/I20382870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100607490","display_name":"Guannan Liu","orcid":"https://orcid.org/0000-0002-4532-7109"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guannan Liu","raw_affiliation_strings":["Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014140503","display_name":"Mingfei Teng","orcid":"https://orcid.org/0000-0003-2683-7207"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mingfei Teng","raw_affiliation_strings":["Rutgers University, Newark, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University, Newark, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028089542","display_name":"Char\u0173 C. Aggarwal","orcid":"https://orcid.org/0000-0003-2579-7581"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Charu Aggarwal","raw_affiliation_strings":["IBM T. J. Watson Research Center, Yorktown Heights, NY, China"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center, Yorktown Heights, NY, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5032187620"],"corresponding_institution_ids":["https://openalex.org/I20382870"],"apc_list":null,"apc_paid":null,"fwci":1.1081,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.85538769,"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":"165","last_page":"173"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12392","display_name":"Sharing Economy and Platforms","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12392","display_name":"Sharing Economy and Platforms","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12546","display_name":"Smart Parking Systems Research","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/renting","display_name":"Renting","score":0.8000808358192444},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7403855919837952},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.7004737854003906},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5764909982681274},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5084632635116577},{"id":"https://openalex.org/keywords/integer","display_name":"Integer (computer science)","score":0.482694149017334},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.47368672490119934},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.471439003944397},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3534351885318756},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3322228193283081},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1345142126083374},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11158967018127441},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09686127305030823},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09270140528678894}],"concepts":[{"id":"https://openalex.org/C85502023","wikidata":"https://www.wikidata.org/wiki/Q157171","display_name":"Renting","level":2,"score":0.8000808358192444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7403855919837952},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.7004737854003906},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5764909982681274},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5084632635116577},{"id":"https://openalex.org/C97137487","wikidata":"https://www.wikidata.org/wiki/Q729138","display_name":"Integer (computer science)","level":2,"score":0.482694149017334},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.47368672490119934},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.471439003944397},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3534351885318756},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3322228193283081},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1345142126083374},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11158967018127441},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09686127305030823},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09270140528678894},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3097983.3098044","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3097983.3098044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","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":20,"referenced_works":["https://openalex.org/W148984587","https://openalex.org/W311139774","https://openalex.org/W1990589796","https://openalex.org/W1991185257","https://openalex.org/W2017328855","https://openalex.org/W2060514920","https://openalex.org/W2096037858","https://openalex.org/W2126447809","https://openalex.org/W2130898575","https://openalex.org/W2142537246","https://openalex.org/W2144846366","https://openalex.org/W2149620660","https://openalex.org/W2165085685","https://openalex.org/W2189069876","https://openalex.org/W2277443561","https://openalex.org/W2310516540","https://openalex.org/W2563592268","https://openalex.org/W3125596464","https://openalex.org/W4285719527","https://openalex.org/W6684294211"],"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/W2047683846","https://openalex.org/W2044902158","https://openalex.org/W2109912052","https://openalex.org/W1711527768"],"abstract_inverted_index":{"Due":[0],"to":[1,18,85,144,155,167],"the":[2,70,86,92,104,112,131,152,156,176,190,197],"sparseness":[3],"of":[4,44,76,88,107,115,159,180,185,199],"quality":[5],"rating":[6],"data,":[7],"unsupervised":[8,64,93],"recommender":[9,35],"systems":[10],"are":[11,47,109,117],"used":[12],"in":[13,16,183],"many":[14],"applications":[15],"Peer":[17,19],"(P2P)":[20],"rental":[21,95],"marketplaces":[22],"such":[23],"as":[24,55,97],"Airbnb,":[25],"FlipKey,":[26],"and":[27,41,49,73,111,163,178,196,201,207],"HomeAway.":[28],"We":[29,150],"present":[30,62],"an":[31,52,63,127],"integer":[32,100],"programming":[33,101],"based":[34],"systems,":[36],"where":[37,103],"both":[38,175],"accommodation":[39,71,105],"benefits":[40,72,106],"community":[42,74,113],"risks":[43,75,114],"lodging":[45,78,165],"places":[46],"measured":[48],"incorporated":[50],"into":[51,146],"objective":[53],"function":[54],"utility":[56,87],"measurements.":[57],"More":[58],"specifically,":[59],"we":[60,90,125,173],"first":[61],"fused":[65],"scoring":[66],"method":[67,138,182],"for":[68,130,139],"quantifying":[69],"a":[77,98,136,187,203],"with":[79],"crowd-sourced":[80],"geo-tagged":[81],"data.":[82],"In":[83,169],"order":[84],"recommendations,":[89],"formulate":[91],"P2P":[94],"recommendations":[96,108,116,166],"constrained":[99],"problem,":[102],"maximized":[110],"minimized,":[118],"while":[119],"maintaining":[120],"constraints":[121],"on":[122,194],"personalization.":[123],"Furthermore,":[124],"provide":[126,164],"efficient":[128],"solution":[129],"optimization":[132],"problem":[133],"by":[134],"developing":[135],"learning-to-integer-programming":[137],"combining":[140],"aggregated":[141],"listwise":[142],"learning":[143],"rank":[145],"branching":[147],"variable":[148],"selection.":[149],"apply":[151],"proposed":[153],"approach":[154],"Airbnb":[157],"data":[158],"New":[160],"York":[161],"City":[162],"travelers.":[168],"our":[170,181],"empirical":[171],"experiments,":[172],"demonstrate":[174],"efficiency":[177],"effectiveness":[179],"terms":[184],"striving":[186],"trade-off":[188],"between":[189,205],"user":[191],"satisfaction,":[192],"time":[193],"market,":[195],"number":[198],"reviews,":[200],"achieving":[202],"balance":[204],"positive":[206],"negative":[208],"sides.":[209]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
