{"id":"https://openalex.org/W2042642744","doi":"https://doi.org/10.1145/2808194.2809494","title":"Improving Pseudo Relevance Feedback in the Divergence from Randomness Model","display_name":"Improving Pseudo Relevance Feedback in the Divergence from Randomness Model","publication_year":2015,"publication_date":"2015-09-22","ids":{"openalex":"https://openalex.org/W2042642744","doi":"https://doi.org/10.1145/2808194.2809494","mag":"2042642744"},"language":"en","primary_location":{"id":"doi:10.1145/2808194.2809494","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2808194.2809494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 International Conference on The Theory of 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/A5074943851","display_name":"Dipasree Pal","orcid":null},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Dipasree Pal","raw_affiliation_strings":["Indian Statistical Institute, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052357764","display_name":"Mandar Mitra","orcid":"https://orcid.org/0009-0007-8026-3220"},"institutions":[{"id":"https://openalex.org/I6498739","display_name":"Indian Statistical Institute","ror":"https://ror.org/00q2w1j53","country_code":"IN","type":"education","lineage":["https://openalex.org/I6498739"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mandar Mitra","raw_affiliation_strings":["Indian Statistical Institute, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Indian Statistical Institute, Kolkata, India","institution_ids":["https://openalex.org/I6498739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110468302","display_name":"Samar Bhattacharya","orcid":null},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Samar Bhattacharya","raw_affiliation_strings":["Jadavpur University, Kolkata, India","Jadavpur University, Kolkata. India#TAB#"],"affiliations":[{"raw_affiliation_string":"Jadavpur University, Kolkata, India","institution_ids":["https://openalex.org/I170979836"]},{"raw_affiliation_string":"Jadavpur University, Kolkata. India#TAB#","institution_ids":["https://openalex.org/I170979836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074943851"],"corresponding_institution_ids":["https://openalex.org/I6498739"],"apc_list":null,"apc_paid":null,"fwci":1.7257,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.88241923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"325","last_page":"328"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9980999827384949,"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":0.9980999827384949,"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":0.9980999827384949,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9965000152587891,"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/randomness","display_name":"Randomness","score":0.7875407934188843},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7226436138153076},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.640626847743988},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.5978671908378601},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5421233773231506},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.5354850888252258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32359546422958374},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22158744931221008},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14290642738342285}],"concepts":[{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.7875407934188843},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7226436138153076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.640626847743988},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.5978671908378601},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5421233773231506},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.5354850888252258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32359546422958374},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22158744931221008},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14290642738342285},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2808194.2809494","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2808194.2809494","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 International Conference on The Theory of 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":9,"referenced_works":["https://openalex.org/W1776265914","https://openalex.org/W1964348731","https://openalex.org/W1966093341","https://openalex.org/W2036181041","https://openalex.org/W2040631151","https://openalex.org/W2052088591","https://openalex.org/W2105157020","https://openalex.org/W2155157903","https://openalex.org/W2155482025"],"related_works":["https://openalex.org/W1921936017","https://openalex.org/W1971071004","https://openalex.org/W2009716188","https://openalex.org/W1518380457","https://openalex.org/W2001985945","https://openalex.org/W1973132420","https://openalex.org/W2460037195","https://openalex.org/W2078482661","https://openalex.org/W1968222678","https://openalex.org/W2142731558"],"abstract_inverted_index":{"In":[0,48],"an":[1],"earlier":[2,67],"analysis":[3],"of":[4],"Pseudo":[5],"Relevance":[6],"Feedback":[7],"(PRF)":[8],"models":[9,20,30,60],"by":[10],"Clinchant":[11],"and":[12,81],"Gaussier":[13],"(2013),":[14],"five":[15],"desirable":[16,40],"properties":[17],"that":[18,56,85],"PRF":[19,29,59,73],"should":[21,61],"satisfy":[22],"were":[23,31],"formalised.":[24],"Also,":[25],"modifications":[26,88],"to":[27,35,69],"two":[28],"proposed":[32,87],"in":[33,44,91],"order":[34],"improve":[36],"compliance":[37],"with":[38],"the":[39,66,78,86],"properties.":[41],"These":[42],"resulted":[43],"improved":[45],"retrieval":[46],"effectiveness.":[47,92],"this":[49],"study,":[50],"we":[51,57],"introduce":[52],"a":[53,71],"sixth":[54],"property":[55],"believe":[58],"satisfy.":[62],"We":[63],"also":[64],"extend":[65],"exercise":[68],"Bo1,":[70],"standard":[72],"model.":[74],"Experimental":[75],"results":[76],"on":[77],"robust,":[79],"wt10g":[80],"gov2":[82],"datasets":[83],"show":[84],"yield":[89],"improvements":[90]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}