{"id":"https://openalex.org/W4221074182","doi":"https://doi.org/10.1145/3489525.3511692","title":"Performance Model and Profile Guided Design of a High-Performance Session Based Recommendation Engine","display_name":"Performance Model and Profile Guided Design of a High-Performance Session Based Recommendation Engine","publication_year":2022,"publication_date":"2022-03-25","ids":{"openalex":"https://openalex.org/W4221074182","doi":"https://doi.org/10.1145/3489525.3511692"},"language":"en","primary_location":{"id":"doi:10.1145/3489525.3511692","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3489525.3511692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 ACM/SPEC on International Conference on Performance Engineering","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/A5072133698","display_name":"Ashwin Krishnan","orcid":"https://orcid.org/0000-0002-8592-3132"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ashwin Krishnan","raw_affiliation_strings":["TCS Research, Mumbai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research, Mumbai, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040769022","display_name":"Manoj Nambiar","orcid":"https://orcid.org/0000-0002-8026-3235"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manoj Nambiar","raw_affiliation_strings":["TCS Research, Mumbai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research, Mumbai, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059412437","display_name":"Nupur Sumeet","orcid":"https://orcid.org/0000-0002-8023-6990"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nupur Sumeet","raw_affiliation_strings":["TCS Research, Mumbai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research, Mumbai, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101414974","display_name":"Sana Iqbal","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sana Iqbal","raw_affiliation_strings":["TCS Research, Mumbai, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research, Mumbai, India","institution_ids":["https://openalex.org/I55215948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.956,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.79171755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"133","last_page":"144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11478","display_name":"Caching and Content Delivery","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/session","display_name":"Session (web analytics)","score":0.8550370931625366},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8398324251174927},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.6482458710670471},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.6121074557304382},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5698164105415344},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5228288769721985},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.5013008117675781},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.41998058557510376},{"id":"https://openalex.org/keywords/central-processing-unit","display_name":"Central processing unit","score":0.41930192708969116},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3380128741264343},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.22960588335990906},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11472979187965393}],"concepts":[{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.8550370931625366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8398324251174927},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.6482458710670471},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.6121074557304382},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5698164105415344},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5228288769721985},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5013008117675781},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.41998058557510376},{"id":"https://openalex.org/C49154492","wikidata":"https://www.wikidata.org/wiki/Q5300","display_name":"Central processing unit","level":2,"score":0.41930192708969116},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3380128741264343},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.22960588335990906},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11472979187965393},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3489525.3511692","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3489525.3511692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 ACM/SPEC on International Conference on Performance Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5299999713897705,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1971040550","https://openalex.org/W1984222112","https://openalex.org/W2165011274","https://openalex.org/W2171279286","https://openalex.org/W2605350416","https://openalex.org/W2723293840","https://openalex.org/W2903574258","https://openalex.org/W2962745591","https://openalex.org/W2979719709","https://openalex.org/W2986515219","https://openalex.org/W3008905965","https://openalex.org/W3034329572","https://openalex.org/W3042495273","https://openalex.org/W3043023836","https://openalex.org/W3043433718","https://openalex.org/W3113181213","https://openalex.org/W3206393216"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W4294565801","https://openalex.org/W2170801710","https://openalex.org/W2952704802","https://openalex.org/W2741781807"],"abstract_inverted_index":{"Session-based":[0],"recommendation":[1,101,187],"(SBR)":[2,56],"systems":[3,9],"are":[4],"widely":[5,89],"used":[6],"in":[7,91,193],"transactional":[8],"to":[10,14,24,71,80,147,167],"make":[11],"personalized":[12],"recommendations":[13],"the":[15,59,73,76,117,121,154,175,197,200,216,220,224],"end-user.":[16],"In":[17,156,195],"online":[18],"retail":[19],"systems,":[20],"recommendations-based":[21],"decisions":[22],"need":[23,106],"be":[25,113,145],"made":[26],"at":[27,169],"a":[28,47,107,114,137,185],"very":[29,41],"high":[30,42,100],"rate":[31],"especially":[32,43],"during":[33],"peak":[34],"hours.":[35],"The":[36],"required":[37],"computational":[38],"workload":[39],"is":[40,46,78,133,204],"when":[44],"there":[45],"larger":[48],"number":[49],"of":[50,120,174],"products":[51],"involved.":[52,123],"Session":[53],"Based":[54],"Recommendation":[55],"models":[57,83],"incorporate":[58],"learning-based":[60],"product":[61],"buying":[62],"pattern":[63],"from":[64],"various":[65],"user":[66,77],"interaction":[67],"sessions":[68],"and":[69,94,163,179,208],"try":[70],"recommend":[72],"top-K":[74],"products,":[75],"likely":[79],"purchase.":[81],"These":[82],"comprise":[84],"several":[85],"functional":[86],"layers":[87,105],"that":[88,189,211],"vary":[90],"their":[92],"compute":[93,128],"data":[95],"access":[96],"patterns.":[97],"To":[98],"support":[99],"rates,":[102],"all":[103,153],"these":[104],"performance":[108,161,221],"optimal":[109,150,171],"implementation,":[110,172],"which":[111],"can":[112],"challenge":[115],"given":[116],"diverse":[118],"nature":[119],"computations":[122],"For":[124],"this":[125,157],"reason,":[126],"one":[127],"platform":[129,203],"-":[130,184],"whether":[131],"it":[132],"CPU,":[134,177],"GPU,":[135,178],"or":[136],"Field":[138],"Programmable":[139],"Gate":[140],"Array":[141],"(FPGA)":[142],"may":[143],"not":[144],"able":[146],"provide":[148],"an":[149,170],"implementation":[151],"for":[152,182,199,206,223],"layers.":[155],"paper,":[158],"we":[159,209],"describe":[160],"modeling":[162],"profile-based":[164],"design":[165,198],"approach":[166],"arrive":[168],"comprising":[173],"hybrid":[176,202],"FPGA":[180],"platforms":[181],"NISER":[183,207],"session-based":[186],"model":[188,222],"avoids":[190],"popularity":[191],"bias":[192],"recommendations.":[194],"addition,":[196],"CPU-FPGA":[201],"implemented":[205,225],"observed":[210],"experimental":[212],"results":[213,217],"closely":[214],"follow":[215],"predicted":[218],"by":[219],"deployment":[226],"option.":[227]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
