{"id":"https://openalex.org/W2024138603","doi":"https://doi.org/10.1145/2505515.2505657","title":"Faceted models of blog feeds","display_name":"Faceted models of blog feeds","publication_year":2013,"publication_date":"2013-10-27","ids":{"openalex":"https://openalex.org/W2024138603","doi":"https://doi.org/10.1145/2505515.2505657","mag":"2024138603"},"language":"en","primary_location":{"id":"doi:10.1145/2505515.2505657","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2505515.2505657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM international conference on Information & 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/A5046208089","display_name":"Lifeng Jia","orcid":null},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lifeng Jia","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, IL, USA","University of Illinois at Chicago Chicago, IL USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"University of Illinois at Chicago Chicago, IL USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109181755","display_name":"Clement Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Clement Yu","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, IL, USA","University of Illinois at Chicago Chicago, IL USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"University of Illinois at Chicago Chicago, IL USA","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101960531","display_name":"Weiyi Meng","orcid":"https://orcid.org/0000-0002-7246-2058"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weiyi Meng","raw_affiliation_strings":["Binghamton University, Binghamton, NY, USA","Binghamton University Binghamton, NY USA"],"affiliations":[{"raw_affiliation_string":"Binghamton University, Binghamton, NY, USA","institution_ids":["https://openalex.org/I123946342"]},{"raw_affiliation_string":"Binghamton University Binghamton, NY USA","institution_ids":["https://openalex.org/I123946342"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5046208089"],"corresponding_institution_ids":["https://openalex.org/I39422238"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08247159,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2279","last_page":"2284"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9988999962806702,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9977999925613403,"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/computer-science","display_name":"Computer science","score":0.73216712474823},{"id":"https://openalex.org/keywords/facet","display_name":"Facet (psychology)","score":0.7166619300842285},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5870729684829712},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5241035223007202},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.46555596590042114},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.45268288254737854},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42790791392326355},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3960273265838623},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3916926681995392},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.38845717906951904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.348328173160553},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1353643834590912},{"id":"https://openalex.org/keywords/big-five-personality-traits","display_name":"Big Five personality traits","score":0.07880580425262451}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.73216712474823},{"id":"https://openalex.org/C43122875","wikidata":"https://www.wikidata.org/wiki/Q5428522","display_name":"Facet (psychology)","level":4,"score":0.7166619300842285},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5870729684829712},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5241035223007202},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.46555596590042114},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.45268288254737854},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42790791392326355},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3960273265838623},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3916926681995392},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.38845717906951904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.348328173160553},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1353643834590912},{"id":"https://openalex.org/C2865642","wikidata":"https://www.wikidata.org/wiki/Q378132","display_name":"Big Five personality traits","level":3,"score":0.07880580425262451},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C187288502","wikidata":"https://www.wikidata.org/wiki/Q641118","display_name":"Personality","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2505515.2505657","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2505515.2505657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM international conference on Information & Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.588.3505","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.588.3505","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.binghamton.edu/~meng/pub.d/p2279-jia-cikm13.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W4946008","https://openalex.org/W327003818","https://openalex.org/W1604256742","https://openalex.org/W1732828232","https://openalex.org/W1880262756","https://openalex.org/W2001082470","https://openalex.org/W2128507180","https://openalex.org/W2129604374","https://openalex.org/W2134350355","https://openalex.org/W2135761443","https://openalex.org/W2155478661","https://openalex.org/W2182733109","https://openalex.org/W2309038908","https://openalex.org/W2334889010","https://openalex.org/W2397975799","https://openalex.org/W2406455451","https://openalex.org/W2745841862","https://openalex.org/W2897532246","https://openalex.org/W6600225970","https://openalex.org/W6605871289","https://openalex.org/W6611221447","https://openalex.org/W6650793866","https://openalex.org/W6680067700","https://openalex.org/W6685869904","https://openalex.org/W6698258552","https://openalex.org/W6703074907","https://openalex.org/W6713824425"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W2280377497","https://openalex.org/W3174044702","https://openalex.org/W4238433571","https://openalex.org/W2967848559","https://openalex.org/W4283803360","https://openalex.org/W4317695495","https://openalex.org/W4387506531"],"abstract_inverted_index":{"Faceted":[0],"blog":[1,123,142],"distillation":[2],"aims":[3],"at":[4],"retrieving":[5],"the":[6,38,62,78,89,112,119,128,138,145,156,161,166,174],"blogs":[7,32,45,67],"that":[8,54,87,118,136],"are":[9,124],"not":[10],"only":[11],"relevant":[12],"to":[13,37,104,126,143],"a":[14,85,102,122,141],"query":[15],"but":[16],"also":[17,116],"exhibit":[18,127],"an":[19],"interested":[20],"facet.":[21,130],"In":[22],"this":[23],"paper":[24],"we":[25,83,132],"consider":[26],"personal":[27,39,179],"and":[28,74,94,180],"official":[29,44,181],"facets.":[30],"Personal":[31],"depict":[33],"various":[34],"topics":[35,63,93],"related":[36],"experiences":[40],"of":[41,64,80,92,96,168],"bloggers":[42],"while":[43,68],"deliver":[46],"contents":[47],"with":[48],"bloggers'":[49],"commercial":[50],"influences.":[51],"We":[52,115],"observe":[53,117],"some":[55],"terms,":[56,70],"such":[57,71],"as":[58,72],"nouns,":[59],"usually":[60],"describe":[61],"posts":[65,120,139],"in":[66,98,111,149],"other":[69],"pronouns":[73],"adverbs,":[75],"normally":[76],"reflect":[77],"facets":[79,97],"posts.":[81,99],"Thus":[82],"present":[84],"model":[86,135],"estimates":[88],"probabilistic":[90],"distributions":[91,148],"those":[95],"It":[100],"leverages":[101],"classifier":[103],"separate":[105],"facet":[106,147],"terms":[107,110],"from":[108,121,140],"topical":[109],"posterior":[113],"inference.":[114],"likely":[125],"same":[129,146],"So":[131],"propose":[133],"another":[134],"constrains":[137],"have":[144],"its":[150],"generative":[151],"process.":[152],"Experimental":[153],"results":[154,172,177],"using":[155],"TREC":[157,162],"2009-2010":[158],"queries":[159],"over":[160],"Blogs08":[163],"collection":[164],"show":[165],"effectiveness":[167],"both":[169],"models.":[170],"Our":[171],"outperform":[173],"best":[175],"known":[176],"for":[178],"distillation.":[182]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}