{"id":"https://openalex.org/W2186358633","doi":null,"title":"Exploiting user-generated data for knowledge discovery and recommendation","display_name":"Exploiting user-generated data for knowledge discovery and recommendation","publication_year":2014,"publication_date":"2014-06-05","ids":{"openalex":"https://openalex.org/W2186358633","mag":"2186358633"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.452.7165","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.452.7165","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://pike.psu.edu/publications/haibin-dissertation.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5101971584","display_name":"Haibin Liu","orcid":"https://orcid.org/0000-0003-3985-7506","observed_orcids":["https://orcid.org/0000-0003-3985-7506"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Haibin Liu","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-3985-7506","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5101971584"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.26100000739097595,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.26100000739097595,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.13940000534057617,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.09390000253915787,"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/user-generated-data","display_name":"user-generated data","score":0.9919999837875366},{"id":"https://openalex.org/keywords/knowledge-discovery","display_name":"knowledge discovery","score":0.9259999990463257},{"id":"https://openalex.org/keywords/recommender-systems","display_name":"recommender systems","score":0.8629999756813049},{"id":"https://openalex.org/keywords/twitter","display_name":"Twitter","score":0.6460000276565552},{"id":"https://openalex.org/keywords/temporal-characteristics","display_name":"temporal features","score":0.996999979019165},{"id":"https://openalex.org/keywords/user-history","display_name":"user history","score":0.8199999928474426},{"id":"https://openalex.org/keywords/political-legitimacy","display_name":"political legitimacy","score":0.9700000286102295},{"id":"https://openalex.org/keywords/social-media","display_name":"social media","score":0.4339999854564667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6117677688598633},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.5045715570449829},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.49400264024734497},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.42612171173095703},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.39312493801116943},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27410218119621277}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.452.7165","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.452.7165","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://pike.psu.edu/publications/haibin-dissertation.pdf","raw_type":"text"},{"id":"mag:2186358633","doi":null,"is_oa":false,"landing_page_url":"http://pike.psu.edu/publications/haibin-dissertation.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":84,"referenced_works":["https://openalex.org/W90409786","https://openalex.org/W100195443","https://openalex.org/W108612201","https://openalex.org/W137112649","https://openalex.org/W201361503","https://openalex.org/W202303397","https://openalex.org/W359818833","https://openalex.org/W1530276735","https://openalex.org/W1532325895","https://openalex.org/W1545344782","https://openalex.org/W1574862351","https://openalex.org/W1579838312","https://openalex.org/W1590495275","https://openalex.org/W1660390307","https://openalex.org/W1663973292","https://openalex.org/W1839863673","https://openalex.org/W1880262756","https://openalex.org/W1960477515","https://openalex.org/W1968451601","https://openalex.org/W1972594981","https://openalex.org/W1973055775","https://openalex.org/W1989704868","https://openalex.org/W1990128172","https://openalex.org/W1990709028","https://openalex.org/W1994359007","https://openalex.org/W1994389483","https://openalex.org/W1995326326","https://openalex.org/W1996809060","https://openalex.org/W2004017431","https://openalex.org/W2007791237","https://openalex.org/W2008255868","https://openalex.org/W2017729405","https://openalex.org/W2017808206","https://openalex.org/W2018277822","https://openalex.org/W2027122363","https://openalex.org/W2037481123","https://openalex.org/W2047221353","https://openalex.org/W2049101093","https://openalex.org/W2053968437","https://openalex.org/W2054141820","https://openalex.org/W2056021151","https://openalex.org/W2060133495","https://openalex.org/W2081721999","https://openalex.org/W2086571766","https://openalex.org/W2088325316","https://openalex.org/W2089204874","https://openalex.org/W2090715008","https://openalex.org/W2096235681","https://openalex.org/W2098943739","https://openalex.org/W2099813784","https://openalex.org/W2102982709","https://openalex.org/W2103151730","https://openalex.org/W2104554115","https://openalex.org/W2110453538","https://openalex.org/W2112090702","https://openalex.org/W2113952909","https://openalex.org/W2114811871","https://openalex.org/W2121841978","https://openalex.org/W2122369144","https://openalex.org/W2127031179","https://openalex.org/W2130284530","https://openalex.org/W2130395434","https://openalex.org/W2139212933","https://openalex.org/W2139317750","https://openalex.org/W2139554337","https://openalex.org/W2140190241","https://openalex.org/W2141203887","https://openalex.org/W2145604831","https://openalex.org/W2151378814","https://openalex.org/W2154103336","https://openalex.org/W2163324514","https://openalex.org/W2163598528","https://openalex.org/W2165571577","https://openalex.org/W2166707169","https://openalex.org/W2171468534","https://openalex.org/W2171836785","https://openalex.org/W2171960770","https://openalex.org/W2251939518","https://openalex.org/W2319170717","https://openalex.org/W2394551298","https://openalex.org/W2400791264","https://openalex.org/W3098567156","https://openalex.org/W3149787662","https://openalex.org/W4251502187"],"related_works":["https://openalex.org/W7098522301","https://openalex.org/W7099925257","https://openalex.org/W2751793116","https://openalex.org/W2922958628","https://openalex.org/W335409357","https://openalex.org/W3111468671","https://openalex.org/W3080102569","https://openalex.org/W2278395588","https://openalex.org/W2617868585","https://openalex.org/W2262794678"],"abstract_inverted_index":{"ii":[0],"The":[1,17],"Internet":[2],"and":[3,11,41,44,68,97,104],"Web":[4],"2.0":[5],"have":[6],"achieved":[7],"a":[8,137,141,152],"rapid":[9],"growth":[10],"became":[12],"ubiquitous":[13],"in":[14,19,57],"recent":[15],"years.":[16],"advance":[18],"information":[20,100],"technologies":[21],"has":[22,50],"also":[23,51],"enabled":[24],"users":[25],"to":[26,39,64,93],"generate":[27],"data,":[28],"implicitly":[29],"or":[30],"explicitly,":[31],"on":[32],"an":[33],"unprecedented":[34],"scale.":[35],"Consequently,":[36],"the":[37,76,79,107,112,119,123,147],"need":[38],"discover":[40,65],"exploit":[42],"new":[43],"useful":[45],"knowledge":[46,67],"from":[47],"such":[48],"data":[49,63],"increased":[52],"considerably.":[53],"In":[54],"this":[55,58],"thesis,":[56],"regard,":[59],"we":[60,74,117],"investigate":[61],"user-generated":[62],"interesting":[66],"enable":[69],"better":[70],"recommendation":[71],"services.":[72],"First,":[73],"tackle":[75],"problem":[77,120],"of":[78,121,125,144,151],"location":[80],"type":[81],"classification":[82,91,113],"using":[83,128],"individual":[84],"Twitter":[85,130],"messages.":[86],"We":[87,135],"extend":[88],"probabilistic":[89,102],"text":[90],"models":[92,109],"incorporate":[94],"temporal":[95],"features":[96],"user":[98],"history":[99],"as":[101],"priors,":[103],"show":[105],"that":[106,139],"proposed":[108],"can":[110],"boost":[111],"accuracy":[114],"effectively.":[115],"Second,":[116],"study":[118],"quantifying":[122],"notion":[124],"political":[126],"legitimacy":[127,149],"collective":[129],"messages":[131],"for":[132],"specific":[133],"populaces.":[134],"design":[136],"framework":[138],"aggregates":[140],"large":[142],"number":[143],"tweets":[145],"into":[146],"final":[148],"score":[150]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
