{"id":"https://openalex.org/W2106421124","doi":"https://doi.org/10.1145/1321440.1321478","title":"Automatic feature selection in the markov random field model for information retrieval","display_name":"Automatic feature selection in the markov random field model for information retrieval","publication_year":2007,"publication_date":"2007-11-06","ids":{"openalex":"https://openalex.org/W2106421124","doi":"https://doi.org/10.1145/1321440.1321478","mag":"2106421124"},"language":"en","primary_location":{"id":"doi:10.1145/1321440.1321478","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1321440.1321478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the sixteenth ACM conference on 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/A5000115067","display_name":"Donald Metzler","orcid":"https://orcid.org/0000-0003-4276-6269"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Donald A. Metzler","raw_affiliation_strings":["University of Massachusetts Amherst, Amherst, MA"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst, Amherst, MA","institution_ids":["https://openalex.org/I24603500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5000115067"],"corresponding_institution_ids":["https://openalex.org/I24603500"],"apc_list":null,"apc_paid":null,"fwci":6.6381,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":{"value":0.96398033,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"253","last_page":"262"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9993000030517578,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9993000030517578,"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":0.9983000159263611,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9966999888420105,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7947781682014465},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.6754385232925415},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6275942325592041},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5872275829315186},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5617231726646423},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5386146903038025},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5330069661140442},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5089430809020996},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.49597272276878357},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4803696572780609},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4573901891708374},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.43504321575164795},{"id":"https://openalex.org/keywords/maximum-entropy-markov-model","display_name":"Maximum-entropy Markov model","score":0.4291590452194214},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.42730265855789185},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4250670075416565},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4113704264163971},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3992854356765747},{"id":"https://openalex.org/keywords/variable-order-markov-model","display_name":"Variable-order Markov model","score":0.23986715078353882},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08673641085624695}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7947781682014465},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.6754385232925415},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6275942325592041},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5872275829315186},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5617231726646423},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5386146903038025},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5330069661140442},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5089430809020996},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.49597272276878357},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4803696572780609},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4573901891708374},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.43504321575164795},{"id":"https://openalex.org/C196956702","wikidata":"https://www.wikidata.org/wiki/Q6795829","display_name":"Maximum-entropy Markov model","level":5,"score":0.4291590452194214},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.42730265855789185},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4250670075416565},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4113704264163971},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3992854356765747},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.23986715078353882},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08673641085624695},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"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/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1321440.1321478","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1321440.1321478","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the sixteenth ACM conference on Conference on information and knowledge management","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.156.7367","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.156.7367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://maroo.cs.umass.edu/pub/web/getpdf.php?id=765","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W63723272","https://openalex.org/W1978394996","https://openalex.org/W1990589796","https://openalex.org/W2014415866","https://openalex.org/W2020237802","https://openalex.org/W2030760474","https://openalex.org/W2070507812","https://openalex.org/W2070740689","https://openalex.org/W2070771761","https://openalex.org/W2078396654","https://openalex.org/W2081079967","https://openalex.org/W2083745421","https://openalex.org/W2085030399","https://openalex.org/W2087663869","https://openalex.org/W2096411881","https://openalex.org/W2105157020","https://openalex.org/W2136542423","https://openalex.org/W2136583886","https://openalex.org/W2139193890","https://openalex.org/W2143331230","https://openalex.org/W2152784831","https://openalex.org/W2160825952","https://openalex.org/W2160842254","https://openalex.org/W2160885631","https://openalex.org/W2162697159","https://openalex.org/W2165718308","https://openalex.org/W2188942575","https://openalex.org/W4240913316","https://openalex.org/W6669996083"],"related_works":["https://openalex.org/W2134386692","https://openalex.org/W2379938888","https://openalex.org/W1510894296","https://openalex.org/W2116722627","https://openalex.org/W1977445474","https://openalex.org/W4233405330","https://openalex.org/W2194396582","https://openalex.org/W2082284720","https://openalex.org/W2566202039","https://openalex.org/W2799426416"],"abstract_inverted_index":{"Previous":[0],"applications":[1],"of":[2,30,85],"the":[3,27,67,127],"Markov":[4,68],"random":[5,69],"field":[6,70],"model":[7,71],"for":[8,34,60,72,82],"information":[9,73,87],"retrieval":[10,88],"have":[11],"used":[12,125],"manually":[13,119],"chosen":[14],"features.":[15,89],"However,":[16],"it":[17],"is":[18,43],"often":[19],"difficult":[20],"or":[21,38,113],"impossible":[22],"to":[23,32,46,64],"know,":[24],"a":[25,35,44,57,78],"priori,":[26],"best":[28],"set":[29],"features":[31,63],"use":[33,65],"given":[36],"task":[37],"data":[39],"set.":[40],"Therefore,":[41],"there":[42],"need":[45],"develop":[47],"automatic":[48],"feature":[49,101],"selection":[50,102],"techniques.":[51],"In":[52],"this":[53],"paper":[54],"we":[55],"describe":[56],"greedy":[58],"procedure":[59],"automatically":[61],"selecting":[62],"within":[66],"retrieval.":[74],"We":[75],"also":[76],"propose":[77],"novel,":[79],"robust":[80],"method":[81],"describing":[83],"classes":[84],"textual":[86],"Experimental":[90],"results,":[91],"evaluated":[92],"on":[93],"standard":[94],"TREC":[95],"test":[96],"collections,":[97],"show":[98],"that":[99,106],"our":[100],"algorithm":[103],"produces":[104],"models":[105,117],"are":[107],"either":[108],"significantly":[109],"more":[110],"effective":[111,115],"than,":[112],"equally":[114],"as,":[116],"with":[118],"selected":[120],"features,":[121],"such":[122],"as":[123],"those":[124],"in":[126],"past.":[128]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":7}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
