{"id":"https://openalex.org/W2129662277","doi":"https://doi.org/10.1145/1871437.1871754","title":"Pattern based keyword extraction for contextual advertising","display_name":"Pattern based keyword extraction for contextual advertising","publication_year":2010,"publication_date":"2010-10-26","ids":{"openalex":"https://openalex.org/W2129662277","doi":"https://doi.org/10.1145/1871437.1871754","mag":"2129662277"},"language":"en","primary_location":{"id":"doi:10.1145/1871437.1871754","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1871437.1871754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM international conference on Information and knowledge management","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/A5004283227","display_name":"Kushal Dave","orcid":"https://orcid.org/0000-0001-5963-1470"},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Kushal S. Dave","raw_affiliation_strings":["International Institute of Information Technology, Hyderabad, India","[International Institute of Information Technology Hyderabad, India]"],"affiliations":[{"raw_affiliation_string":"International Institute of Information Technology, Hyderabad, India","institution_ids":["https://openalex.org/I64189192"]},{"raw_affiliation_string":"[International Institute of Information Technology Hyderabad, India]","institution_ids":["https://openalex.org/I64189192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073786634","display_name":"Vasudeva Varma","orcid":"https://orcid.org/0000-0003-1923-1725"},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vasudeva Varma","raw_affiliation_strings":["International Institute of Information Technology, Hyderabad, India","[International Institute of Information Technology Hyderabad, India]"],"affiliations":[{"raw_affiliation_string":"International Institute of Information Technology, Hyderabad, India","institution_ids":["https://openalex.org/I64189192"]},{"raw_affiliation_string":"[International Institute of Information Technology Hyderabad, India]","institution_ids":["https://openalex.org/I64189192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5004283227"],"corresponding_institution_ids":["https://openalex.org/I64189192"],"apc_list":null,"apc_paid":null,"fwci":1.8042,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.87728669,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1885","last_page":"1888"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9998999834060669,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9998999834060669,"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":0.9302999973297119,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9192000031471252,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7574059367179871},{"id":"https://openalex.org/keywords/keyword-extraction","display_name":"Keyword extraction","score":0.6404443979263306},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.47150033712387085},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4116048216819763},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3874395489692688}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7574059367179871},{"id":"https://openalex.org/C2780288562","wikidata":"https://www.wikidata.org/wiki/Q25053353","display_name":"Keyword extraction","level":2,"score":0.6404443979263306},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.47150033712387085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4116048216819763},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3874395489692688},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1871437.1871754","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1871437.1871754","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM international conference on Information and knowledge management","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":10,"referenced_works":["https://openalex.org/W1849729440","https://openalex.org/W1907578970","https://openalex.org/W2015338694","https://openalex.org/W2064418625","https://openalex.org/W2073722401","https://openalex.org/W2142750046","https://openalex.org/W2145766604","https://openalex.org/W2156577800","https://openalex.org/W4233760227","https://openalex.org/W6638875480"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2057994187","https://openalex.org/W2775598631","https://openalex.org/W4254725359","https://openalex.org/W1563926112","https://openalex.org/W2921205342","https://openalex.org/W2289261433"],"abstract_inverted_index":{"Contextual":[0],"Advertising":[1],"(CA)":[2],"refers":[3],"to":[4,13,40,66,73],"the":[5,14,24,58,74,89,130,137,146],"placement":[6],"of":[7,20,26,52,60,77,105],"ads":[8],"that":[9,56,71,127],"are":[10,95,148],"contextually":[11],"related":[12],"web":[15,31,46,106,122],"page":[16],"content.":[17],"The":[18,112],"science":[19],"CA":[21],"deals":[22],"with":[23,102,109],"task":[25],"finding":[27],"advertising":[28,42,117],"keywords":[29,43,118],"from":[30,44,119],"pages.":[32,123],"We":[33,80],"present":[34],"a":[35,45,63,98,103,153],"different":[36],"candidate":[37],"selection":[38],"method":[39,49,87,133],"extract":[41],"page.":[47],"This":[48],"makes":[50],"use":[51],"Part-of-Speech":[53],"(POS)":[54],"patterns":[55],"restrict":[57],"number":[59],"potential":[61],"candidates":[62],"classifier":[64,101],"has":[65],"handle.":[67],"It":[68],"fetches":[69],"words/phrases":[70],"belong":[72],"selected":[75],"set":[76,104],"POS":[78],"patterns.":[79],"design":[81],"four":[82],"systems":[83,94,113,128,138,147],"based":[84,141],"on":[85,97],"chunking":[86,132],"and":[88],"features":[90],"they":[91],"use.":[92],"These":[93],"trained":[96],"naive":[99],"Bayes":[100],"pages":[107],"annotated":[108],"'advertising'":[110],"keywords.":[111],"can":[114],"then":[115],"find":[116],"previously":[120],"unseen":[121],"Empirical":[124],"evaluation":[125],"shows":[126],"using":[129,139],"proposed":[131],"perform":[134],"better":[135],"than":[136],"N-Gram":[140],"chunking.":[142],"All":[143],"improvements":[144],"in":[145],"found":[149],"statistically":[150],"significant":[151],"at":[152],"99%":[154],"confidence":[155],"interval.":[156]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
