{"id":"https://openalex.org/W3154275079","doi":"https://doi.org/10.1145/3404835.3463232","title":"AMM: Attentive Multi-field Matching for News Recommendation","display_name":"AMM: Attentive Multi-field Matching for News Recommendation","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3154275079","doi":"https://doi.org/10.1145/3404835.3463232","mag":"3154275079"},"language":"en","primary_location":{"id":"doi:10.1145/3404835.3463232","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404835.3463232","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","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/A5100360203","display_name":"Qi Zhang","orcid":"https://orcid.org/0000-0001-6076-510X"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Zhang","raw_affiliation_strings":["Noah's Ark Lab, Huawei, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Noah's Ark Lab, Huawei, Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032579783","display_name":"Qinglin Jia","orcid":"https://orcid.org/0000-0002-3583-6719"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinglin Jia","raw_affiliation_strings":["Noah's Ark Lab, Huawei, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Noah's Ark Lab, Huawei, Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052841844","display_name":"Chuyuan Wang","orcid":"https://orcid.org/0000-0002-6381-6424"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuyuan Wang","raw_affiliation_strings":["Noah's Ark Lab, Huawei, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Noah's Ark Lab, Huawei, Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100647029","display_name":"Jingjie Li","orcid":"https://orcid.org/0000-0001-5253-1899"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjie Li","raw_affiliation_strings":["Noah's Ark Lab, Huawei, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Noah's Ark Lab, Huawei, Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100655132","display_name":"Zhaowei Wang","orcid":"https://orcid.org/0000-0002-7797-3316"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaowei Wang","raw_affiliation_strings":["Noah's Ark Lab, Huawei, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Noah's Ark Lab, Huawei, Beijing, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083350101","display_name":"Xiuqiang He","orcid":"https://orcid.org/0000-0002-4115-8205"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuqiang He","raw_affiliation_strings":["Noah's Ark Lab, Huawei, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Noah's Ark Lab, Huawei, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100360203"],"corresponding_institution_ids":["https://openalex.org/I2250955327"],"apc_list":null,"apc_paid":null,"fwci":7.1606,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.9701126,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1588","last_page":"1592"},"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":0.9994999766349792,"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":0.9959999918937683,"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/matching","display_name":"Matching (statistics)","score":0.8110185861587524},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8069878816604614},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6938480138778687},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6595439314842224},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6351203322410583},{"id":"https://openalex.org/keywords/semantic-matching","display_name":"Semantic matching","score":0.5681602954864502},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07124960422515869}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.8110185861587524},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8069878816604614},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6938480138778687},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6595439314842224},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6351203322410583},{"id":"https://openalex.org/C2778493491","wikidata":"https://www.wikidata.org/wiki/Q7449072","display_name":"Semantic matching","level":3,"score":0.5681602954864502},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07124960422515869},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3404835.3463232","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404835.3463232","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2088573827","https://openalex.org/W2094286023","https://openalex.org/W2123427850","https://openalex.org/W2743333519","https://openalex.org/W2950416834","https://openalex.org/W2950421571","https://openalex.org/W2951001079","https://openalex.org/W2963869731","https://openalex.org/W2970793364","https://openalex.org/W3034236656","https://openalex.org/W3034503922","https://openalex.org/W6601076540"],"related_works":["https://openalex.org/W1972035260","https://openalex.org/W2062195135","https://openalex.org/W4301594054","https://openalex.org/W2794488505","https://openalex.org/W2795079307","https://openalex.org/W3125889879","https://openalex.org/W1986106996","https://openalex.org/W4285012873","https://openalex.org/W2122517733","https://openalex.org/W2556741551"],"abstract_inverted_index":{"Personalized":[0],"news":[1,22,28,41,49,73,84,152],"recommendation":[2,74],"is":[3],"a":[4,106,132],"critical":[5],"technology":[6],"to":[7,15,144,162],"help":[8],"users":[9],"find":[10],"interested":[11],"news,":[12,87],"and":[13,20,42,85,88,104,108,122,124,154],"how":[14],"precisely":[16],"match":[17,44],"users'":[18],"interests":[19],"candidate":[21,48,86],"lies":[23],"in":[24,159],"the":[25,47,54,77,126,138,146,156,164,171,178,183],"core":[26],"of":[27,149,166,185],"recommendation.":[29,60],"Existing":[30],"studies":[31],"generally":[32],"learn":[33,145],"user's":[34],"interest":[35],"vector":[36],"by":[37],"aggregating":[38,160],"his/her":[39],"browsed":[40,83],"then":[43,89],"it":[45],"with":[46],"vector,":[50],"which":[51,75,112],"may":[52],"lose":[53],"textual":[55],"semantic":[56,78,134],"matching":[57,79,95,110,128,147,168,174],"signals":[58],"for":[59,72,170],"In":[61,97],"this":[62],"paper,":[63],"we":[64,136],"propose":[65],"an":[66],"Attentive":[67],"Multi-field":[68],"Matching":[69],"(AMM)":[70],"framework":[71],"captures":[76],"representations":[80],"between":[81],"each":[82,150,167],"aggregates":[90],"them":[91],"as":[92],"final":[93,172],"user-news":[94,173],"signal.":[96,175],"addition,":[98],"our":[99],"method":[100],"incorporates":[101],"multi-field":[102,127],"information":[103,115],"designs":[105],"within-field":[107],"cross-field":[109],"mechanism,":[111],"leverages":[113],"complementary":[114],"from":[116],"different":[117],"fields":[118],"(e.g.,":[119],"titles,":[120],"abstracts":[121],"bodies)":[123],"obtain":[125],"representations.":[129],"To":[130],"achieve":[131],"comprehensive":[133],"understanding,":[135],"employ":[137],"most":[139],"popular":[140],"language":[141],"model":[142],"BERT":[143],"representation":[148,169],"browsed-candidate":[151],"pair,":[153],"incorporate":[155],"attention":[157],"mechanism":[158],"procedure":[161],"characterize":[163],"importance":[165],"Experiments":[176],"on":[177],"real":[179],"world":[180],"datasets":[181],"validate":[182],"effectiveness":[184],"AMM.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
