{"id":"https://openalex.org/W4403219412","doi":"https://doi.org/10.1145/3640457.3688157","title":"MAWI Rec: Leveraging Severe Weather Data in Recommendation","display_name":"MAWI Rec: Leveraging Severe Weather Data in Recommendation","publication_year":2024,"publication_date":"2024-10-08","ids":{"openalex":"https://openalex.org/W4403219412","doi":"https://doi.org/10.1145/3640457.3688157"},"language":"en","primary_location":{"id":"doi:10.1145/3640457.3688157","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640457.3688157","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640457.3688157","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3640457.3688157","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049244552","display_name":"Brendan Duncan","orcid":"https://orcid.org/0000-0002-7851-9297"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brendan Andrew Duncan","raw_affiliation_strings":["Computer Science & Engineering, UC San Diego, USA"],"raw_orcid":"https://orcid.org/0000-0002-7851-9297","affiliations":[{"raw_affiliation_string":"Computer Science & Engineering, UC San Diego, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022375099","display_name":"Surya Kallumadi","orcid":"https://orcid.org/0000-0002-5638-0482"},"institutions":[{"id":"https://openalex.org/I4210143693","display_name":"TRC Companies (United States)","ror":"https://ror.org/055ryq086","country_code":"US","type":"company","lineage":["https://openalex.org/I4210143693"]},{"id":"https://openalex.org/I4401726898","display_name":"Lowe's (United States)","ror":"https://ror.org/03w9xqv95","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726898"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Surya Kallumadi","raw_affiliation_strings":["Lowe's Companies, Inc., USA"],"raw_orcid":"https://orcid.org/0000-0002-5638-0482","affiliations":[{"raw_affiliation_string":"Lowe's Companies, Inc., USA","institution_ids":["https://openalex.org/I4210143693","https://openalex.org/I4401726898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017455302","display_name":"Taylor Berg-Kirkpatrick","orcid":"https://orcid.org/0000-0002-1283-4075"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Taylor Berg-Kirkpatrick","raw_affiliation_strings":["Computer Science & Engineering, UC San Diego, USA"],"raw_orcid":"https://orcid.org/0000-0002-1283-4075","affiliations":[{"raw_affiliation_string":"Computer Science & Engineering, UC San Diego, USA","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021827617","display_name":"Julian McAuley","orcid":"https://orcid.org/0000-0003-0955-7588"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Julian Mcauley","raw_affiliation_strings":["Computer Science & Engineering, University of California San Diego, USA"],"raw_orcid":"https://orcid.org/0000-0003-0955-7588","affiliations":[{"raw_affiliation_string":"Computer Science & Engineering, University of California San Diego, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"850","last_page":"854"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9983999729156494,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.994700014591217,"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":0.6771813631057739},{"id":"https://openalex.org/keywords/weather-forecasting","display_name":"Weather forecasting","score":0.458906352519989},{"id":"https://openalex.org/keywords/weather-prediction","display_name":"Weather prediction","score":0.41053885221481323},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.2686411738395691}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6771813631057739},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.458906352519989},{"id":"https://openalex.org/C2987469573","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather prediction","level":2,"score":0.41053885221481323},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.2686411738395691},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3640457.3688157","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640457.3688157","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640457.3688157","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3640457.3688157","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640457.3688157","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640457.3688157","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403219412.pdf"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W2056102005","https://openalex.org/W2061039971","https://openalex.org/W2068088950","https://openalex.org/W2124905942","https://openalex.org/W2132958075","https://openalex.org/W2250539671","https://openalex.org/W2269856308","https://openalex.org/W2436493739","https://openalex.org/W2480535768","https://openalex.org/W2497258469","https://openalex.org/W2888686055","https://openalex.org/W2917458986","https://openalex.org/W2963367478","https://openalex.org/W2968931501","https://openalex.org/W2997591727","https://openalex.org/W3006912664","https://openalex.org/W3012772192","https://openalex.org/W3028195881","https://openalex.org/W3080374445","https://openalex.org/W3154921101","https://openalex.org/W4224316819","https://openalex.org/W4306317239","https://openalex.org/W4367310737","https://openalex.org/W6843474500"],"related_works":["https://openalex.org/W4377970672","https://openalex.org/W4391877217","https://openalex.org/W2970320467","https://openalex.org/W4399449843","https://openalex.org/W3127901020","https://openalex.org/W4210762563","https://openalex.org/W2998567488","https://openalex.org/W3021464272","https://openalex.org/W4389919864","https://openalex.org/W2348248161"],"abstract_inverted_index":{"Inferring":[0],"user":[1,33,59],"intent":[2,13,31],"in":[3],"recommender":[4,87],"systems":[5],"can":[6],"help":[7],"performance":[8],"but":[9,38],"is":[10,14,119],"difficult":[11],"because":[12],"personal":[15],"and":[16,110,130],"not":[17,42],"directly":[18,57],"observable.":[19],"Previous":[20],"work":[21],"has":[22],"leveraged":[23],"signals":[24,40],"to":[25,72,77,94],"stand":[26],"as":[27,127],"a":[28,64,74,86,101,105],"proxy":[29],"for":[30,108,122],"(e.g.":[32],"interactions":[34],"with":[35],"resource":[36],"pages),":[37],"such":[39,126],"are":[41,55,69],"always":[43],"available.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48],"instead":[49],"recognize":[50],"that":[51,89],"certain":[52],"events,":[53],"which":[54],"observable,":[56],"influence":[58],"intent.":[60],"For":[61],"example,":[62],"after":[63],"flood,":[65],"home":[66,114],"improvement":[67,103,115],"customers":[68],"more":[70],"likely":[71],"undertake":[73],"renovation":[75],"project":[76],"dry":[78],"out":[79],"their":[80],"basement.":[81],"We":[82],"introduce":[83],"MAWI":[84],"Rec,":[85],"system":[88,99],"leverages":[90],"severe":[91],"weather":[92],"data":[93],"improve":[95],"recommendation.":[96],"Our":[97],"weather-aware":[98],"achieves":[100],"significant":[102,121],"over":[104],"state-of-the-art":[106],"baseline":[107],"online":[109],"in-store":[111],"datasets":[112],"of":[113],"customers.":[116],"This":[117],"gain":[118],"most":[120],"weather-related":[123],"product":[124],"categories":[125],"roof":[128],"panels":[129],"flashings.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}