{"id":"https://openalex.org/W4412377954","doi":"https://doi.org/10.1145/3726302.3730236","title":"Permutation-Invariant Transformers for Attribute Embeddings in Information Retrieval","display_name":"Permutation-Invariant Transformers for Attribute Embeddings in Information Retrieval","publication_year":2025,"publication_date":"2025-07-13","ids":{"openalex":"https://openalex.org/W4412377954","doi":"https://doi.org/10.1145/3726302.3730236"},"language":"en","primary_location":{"id":"doi:10.1145/3726302.3730236","doi":"https://doi.org/10.1145/3726302.3730236","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730236","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730236","source":{"id":"https://openalex.org/S4363608773","display_name":"International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730236","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5118969390","display_name":"Ernest Kirubakaran Selvaraj","orcid":"https://orcid.org/0000-0002-8829-0297","observed_orcids":["https://orcid.org/0000-0002-8829-0297"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ernest Kirubakaran Selvaraj","raw_affiliation_strings":["6sense Insights Inc., Bengaluru, India"],"raw_orcid":"https://orcid.org/0000-0002-8829-0297","affiliations":[{"raw_affiliation_string":"6sense Insights Inc., Bengaluru, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Akshay Shah","orcid":"https://orcid.org/0009-0005-5996-6269","observed_orcids":["https://orcid.org/0009-0005-5996-6269"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Akshay Shah","raw_affiliation_strings":["6sense Insights Inc., Bengaluru, India"],"raw_orcid":"https://orcid.org/0009-0005-5996-6269","affiliations":[{"raw_affiliation_string":"6sense Insights Inc., Bengaluru, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113027833","display_name":"Shubham Agrawal","orcid":"https://orcid.org/0009-0009-4407-8591","observed_orcids":["https://orcid.org/0009-0009-4407-8591"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shubham Agrawal","raw_affiliation_strings":["6sense Insights Inc., Bengaluru, India"],"raw_orcid":"https://orcid.org/0009-0009-4407-8591","affiliations":[{"raw_affiliation_string":"6sense Insights Inc., Bengaluru, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118969391","display_name":"Riya Hedaoo","orcid":"https://orcid.org/0009-0008-1595-1315","observed_orcids":["https://orcid.org/0009-0008-1595-1315"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Riya Hedaoo","raw_affiliation_strings":["6sense Insights Inc., Bengaluru, India"],"raw_orcid":"https://orcid.org/0009-0008-1595-1315","affiliations":[{"raw_affiliation_string":"6sense Insights Inc., Bengaluru, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091350024","display_name":"S. MalekMohamadi Golsefid","orcid":"https://orcid.org/0009-0008-1506-9488","observed_orcids":["https://orcid.org/0009-0008-1506-9488"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Samira Golsefid","raw_affiliation_strings":["6sense Insights Inc., San Francisco, USA"],"raw_orcid":"https://orcid.org/0009-0008-1506-9488","affiliations":[{"raw_affiliation_string":"6sense Insights Inc., San Francisco, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1297023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3060","last_page":"3064"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.7064999938011169,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.7064999938011169,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.28200000524520874,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.002099999925121665,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/permutation-invariance","display_name":"permutation invariance","score":0.9470000267028809},{"id":"https://openalex.org/keywords/attribute-embedding","display_name":"attribute embedding","score":0.8569999933242798},{"id":"https://openalex.org/keywords/product-attributes","display_name":"product attributes","score":0.6439999938011169},{"id":"https://openalex.org/keywords/transformer","display_name":"transformer models","score":0.5929999947547913},{"id":"https://openalex.org/keywords/e-commerce-search","display_name":"e-commerce search","score":0.7649999856948853},{"id":"https://openalex.org/keywords/search-engine-ranking","display_name":"search engine ranking","score":0.7480000257492065},{"id":"https://openalex.org/keywords/recommender-systems","display_name":"recommender systems","score":0.7450000047683716}],"concepts":[{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6198292970657349},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6121572852134705},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.48633629083633423},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4667869806289673},{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.46163034439086914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3360656499862671},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24007970094680786},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08585122227668762},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3726302.3730236","doi":"https://doi.org/10.1145/3726302.3730236","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730236","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730236","source":{"id":"https://openalex.org/S4363608773","display_name":"International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3726302.3730236","doi":"https://doi.org/10.1145/3726302.3730236","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730236","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730236","source":{"id":"https://openalex.org/S4363608773","display_name":"International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412377954.pdf","grobid_xml":"https://content.openalex.org/works/W4412377954.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W3035590471","https://openalex.org/W4226253852","https://openalex.org/W4281826654","https://openalex.org/W4287890143","https://openalex.org/W4319301027","https://openalex.org/W4361988278"],"related_works":["https://openalex.org/W2594778474","https://openalex.org/W2944183083","https://openalex.org/W3104453097","https://openalex.org/W2949607517","https://openalex.org/W2951830772","https://openalex.org/W4301731691","https://openalex.org/W4285790638","https://openalex.org/W1971215949","https://openalex.org/W2951242027","https://openalex.org/W1769744536"],"abstract_inverted_index":{"Generating":[0],"robust":[1],"embeddings":[2,16],"for":[3,65],"unordered":[4,60],"sets":[5,62],"of":[6,30],"phrases":[7],"is":[8,37,63],"a":[9,98,103],"challenging":[10],"problem":[11],"in":[12,40,136],"NLP,":[13],"particularly":[14],"when":[15],"must":[17],"exhibit":[18],"permutation":[19],"invariance":[20],"at":[21,115],"the":[22,27,116,122],"set":[23,75,117],"level":[24],"while":[25,111],"preserving":[26],"inherent":[28],"order":[29,109],"tokens":[31],"within":[32],"each":[33],"phrase.":[34],"This":[35],"challenge":[36],"especially":[38],"relevant":[39],"e-commerce,":[41],"where":[42],"product":[43],"attributes":[44],"such":[45,83],"as":[46,84],"size,":[47],"color,":[48],"and":[49,54,70],"dimensions":[50],"are":[51],"often":[52],"unstructured":[53],"vary":[55],"across":[56],"products.":[57],"Embedding":[58],"these":[59],"attribute":[61],"critical":[64],"query-product":[66],"understanding,":[67],"search":[68,137],"ranking,":[69],"recommenda-":[71],"tion":[72],"systems.":[73],"Existing":[74],"embedding":[76],"methods":[77],"have":[78],"primarily":[79],"focused":[80],"on":[81,121],"domains":[82],"graphs,":[85],"with":[86],"limited":[87],"applicability":[88],"to":[89],"NLP":[90],"tasks.":[91],"To":[92],"address":[93],"this":[94],"gap,":[95],"we":[96],"propose":[97],"Phrase-Localized":[99],"Attention":[100],"Network":[101],"(PLAN),":[102],"Transformer-based":[104],"model":[105],"that":[106,128],"ensures":[107],"intra-attribute":[108],"preservation":[110],"enabling":[112],"permutation-invariant":[113],"representations":[114],"level.":[118],"Experimental":[119],"results":[120],"Amazon":[123],"Shopping":[124],"Queries":[125],"dataset":[126],"demonstrate":[127],"PLAN":[129],"outperforms":[130],"existing":[131],"models,":[132],"highlighting":[133],"its":[134],"effectiveness":[135],"applications.":[138]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-10T00:00:00"}
