{"id":"https://openalex.org/W4412378055","doi":"https://doi.org/10.1145/3726302.3730115","title":"WebANNS: Fast and Efficient Approximate Nearest Neighbor Search in Web Browsers","display_name":"WebANNS: Fast and Efficient Approximate Nearest Neighbor Search in Web Browsers","publication_year":2025,"publication_date":"2025-07-13","ids":{"openalex":"https://openalex.org/W4412378055","doi":"https://doi.org/10.1145/3726302.3730115"},"language":"en","primary_location":{"id":"doi:10.1145/3726302.3730115","doi":"https://doi.org/10.1145/3726302.3730115","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730115","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730115","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":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730115","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104285228","display_name":"Mugeng Liu","orcid":"https://orcid.org/0009-0002-7625-8721","observed_orcids":["https://orcid.org/0009-0002-7625-8721"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mugeng Liu","raw_affiliation_strings":["School of Computer Science, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-7625-8721","affiliations":[{"raw_affiliation_string":"School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118969411","display_name":"Siqi Zhong","orcid":"https://orcid.org/0009-0004-0134-2683","observed_orcids":["https://orcid.org/0009-0004-0134-2683"]},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siqi Zhong","raw_affiliation_strings":["Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0004-0134-2683","affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065905784","display_name":"Qi Yang","orcid":"https://orcid.org/0000-0003-2057-3861","observed_orcids":["https://orcid.org/0000-0003-2057-3861"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Yang","raw_affiliation_strings":["Institute for Artificial Intelligence, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2057-3861","affiliations":[{"raw_affiliation_string":"Institute for Artificial Intelligence, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101855618","display_name":"Yudong Han","orcid":"https://orcid.org/0000-0003-4846-5803","observed_orcids":["https://orcid.org/0000-0003-4846-5803"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yudong Han","raw_affiliation_strings":["Institute for Artificial Intelligence, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4846-5803","affiliations":[{"raw_affiliation_string":"Institute for Artificial Intelligence, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052249316","display_name":"Xuanzhe Liu","orcid":"https://orcid.org/0000-0002-7908-8484","observed_orcids":["https://orcid.org/0000-0002-7908-8484"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuanzhe Liu","raw_affiliation_strings":["School of Computer Science, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7908-8484","affiliations":[{"raw_affiliation_string":"School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101614814","display_name":"Yun Ma","orcid":"https://orcid.org/0000-0001-7866-4075","observed_orcids":["https://orcid.org/0000-0001-7866-4075"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Ma","raw_affiliation_strings":["Institute for Artificial Intelligence, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7866-4075","affiliations":[{"raw_affiliation_string":"Institute for Artificial Intelligence, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1841,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.92625353,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2483","last_page":"2492"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.7886000275611877,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.7886000275611877,"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"}},{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.05739999935030937,"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":0.03519999980926514,"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/approximate-nearest-neighbor-search","display_name":"approximate nearest neighbor search","score":1.0},{"id":"https://openalex.org/keywords/web-browsers","display_name":"web browsers","score":0.7080000042915344},{"id":"https://openalex.org/keywords/retrieval-augmented-generation","display_name":"retrieval-augmented generation","score":0.9890000224113464},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.9330000281333923},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"privacy preservation","score":0.5189999938011169},{"id":"https://openalex.org/keywords/memory-limitations","display_name":"memory constraints","score":0.7310000061988831}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7410678267478943},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.69173264503479},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.618076741695404},{"id":"https://openalex.org/C2983909278","wikidata":"https://www.wikidata.org/wiki/Q6368","display_name":"Web browser","level":3,"score":0.5527316331863403},{"id":"https://openalex.org/C161986146","wikidata":"https://www.wikidata.org/wiki/Q4896845","display_name":"Best bin first","level":3,"score":0.4901953339576721},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.48889127373695374},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34168803691864014},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.24505078792572021},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22484183311462402},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18539020419120789}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3726302.3730115","doi":"https://doi.org/10.1145/3726302.3730115","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730115","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730115","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"},{"id":"pmh:oai:arXiv.org:2507.00521","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.00521","pdf_url":"https://arxiv.org/pdf/2507.00521","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2507.00521","doi":"https://doi.org/10.48550/arxiv.2507.00521","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2507.00521","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1145/3726302.3730115","doi":"https://doi.org/10.1145/3726302.3730115","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730115","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730115","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":[{"id":"https://openalex.org/G8414340155","display_name":null,"funder_award_id":"62325201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412378055.pdf","grobid_xml":"https://content.openalex.org/works/W4412378055.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W2077815765","https://openalex.org/W2124509324","https://openalex.org/W2593864460","https://openalex.org/W2744136723","https://openalex.org/W2808965910","https://openalex.org/W2963469388","https://openalex.org/W3036320503","https://openalex.org/W3098468692","https://openalex.org/W3180230246","https://openalex.org/W4290877239","https://openalex.org/W4366548330","https://openalex.org/W4367000087","https://openalex.org/W4389520047"],"related_works":["https://openalex.org/W2381195555","https://openalex.org/W2182477562","https://openalex.org/W2148008870","https://openalex.org/W4246757943","https://openalex.org/W2085998272","https://openalex.org/W1595303882","https://openalex.org/W1558159560","https://openalex.org/W2368606575","https://openalex.org/W2351157934","https://openalex.org/W2375128115"],"abstract_inverted_index":{"Approximate":[0],"nearest":[1],"neighbor":[2],"search":[3],"(ANNS)":[4],"has":[5],"become":[6],"vital":[7],"to":[8,24,66],"modern":[9],"AI":[10],"infrastructure,":[11],"particularly":[12],"in":[13],"retrieval-augmented":[14],"generation":[15],"(RAG)":[16],"applications.":[17],"Numerous":[18],"in-browser":[19],"ANNS":[20],"engines":[21],"have":[22],"emerged":[23],"seamlessly":[25],"integrate":[26],"with":[27],"popular":[28],"LLM-based":[29],"web":[30,43],"applications,":[31],"while":[32],"addressing":[33],"privacy":[34],"protection":[35],"and":[36,57],"challenges":[37,47],"of":[38],"heterogeneous":[39],"device":[40],"deployments.":[41],"However,":[42],"browsers":[44],"present":[45],"unique":[46],"for":[48],"ANNS,":[49],"including":[50],"computational":[51],"limitations,":[52],"external":[53],"storage":[54],"access":[55],"issues,":[56],"memory":[58],"utilization":[59],"constraints,":[60],"which":[61],"state-of-the-art":[62],"(SOTA)":[63],"solutions":[64],"fail":[65],"address":[67],"comprehensively.":[68]},"counts_by_year":[{"year":2026,"cited_by_count":4}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-10T00:00:00"}