{"id":"https://openalex.org/W2729102302","doi":"https://doi.org/10.1145/3079628.3079655","title":"A Personalized Global Filter To Predict Retweets","display_name":"A Personalized Global Filter To Predict Retweets","publication_year":2017,"publication_date":"2017-07-07","ids":{"openalex":"https://openalex.org/W2729102302","doi":"https://doi.org/10.1145/3079628.3079655","mag":"2729102302"},"language":"en","primary_location":{"id":"doi:10.1145/3079628.3079655","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3079628.3079655","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization","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/A5054078510","display_name":"Michail Vougioukas","orcid":null},"institutions":[{"id":"https://openalex.org/I67311998","display_name":"European Organization for Nuclear Research","ror":"https://ror.org/01ggx4157","country_code":"CH","type":"facility","lineage":["https://openalex.org/I67311998"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Michail Vougioukas","raw_affiliation_strings":["European Organization for Nuclear Research, Geneva, Switzerland"],"affiliations":[{"raw_affiliation_string":"European Organization for Nuclear Research, Geneva, Switzerland","institution_ids":["https://openalex.org/I67311998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069270736","display_name":"Ion Androutsopoulos","orcid":"https://orcid.org/0009-0000-2969-0509"},"institutions":[{"id":"https://openalex.org/I73142707","display_name":"Athens University of Economics and Business","ror":"https://ror.org/03s262162","country_code":"GR","type":"education","lineage":["https://openalex.org/I73142707"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ion Androutsopoulos","raw_affiliation_strings":["Athens University of Economics and Business, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"Athens University of Economics and Business, Athens, Greece","institution_ids":["https://openalex.org/I73142707"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010395244","display_name":"\u0393\u03b5\u03ce\u03c1\u03b3\u03b9\u03bf\u03c2 \u03a0\u03b1\u03bb\u03b9\u03bf\u03cd\u03c1\u03b1\u03c2","orcid":"https://orcid.org/0000-0001-9629-2367"},"institutions":[{"id":"https://openalex.org/I203474044","display_name":"National Centre of Scientific Research \"Demokritos\"","ror":"https://ror.org/038jp4m40","country_code":"GR","type":"facility","lineage":["https://openalex.org/I203474044"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Georgios Paliouras","raw_affiliation_strings":["National Center for Scientific Research, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"National Center for Scientific Research, Athens, Greece","institution_ids":["https://openalex.org/I203474044"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054078510"],"corresponding_institution_ids":["https://openalex.org/I67311998"],"apc_list":null,"apc_paid":null,"fwci":0.3441,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56660179,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"393","last_page":"394"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9988999962806702,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9976999759674072,"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":0.7324137687683105},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6762153506278992},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.6415006518363953},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3846622407436371},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3175917863845825}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7324137687683105},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6762153506278992},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.6415006518363953},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3846622407436371},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3175917863845825},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3079628.3079655","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3079628.3079655","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization","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":5,"referenced_works":["https://openalex.org/W2076959242","https://openalex.org/W2127785456","https://openalex.org/W2145131124","https://openalex.org/W2149586224","https://openalex.org/W2157765050"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2361805396","https://openalex.org/W2972254340","https://openalex.org/W2390279801","https://openalex.org/W1805912688","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2373973507"],"abstract_inverted_index":{"Information":[0],"shared":[1],"on":[2,75,104,157],"Twitter":[3],"is":[4,93],"ever":[5],"increasing":[6],"and":[7,58,80,111],"users-recipients":[8],"are":[9,73,102,144,154],"overwhelmed":[10],"by":[11,39,46,107],"the":[12,27,112,115,134,137,149],"number":[13],"of":[14,19,21,29,78,114,136,139],"tweets":[15],"they":[16],"receive,":[17],"many":[18],"which":[20,129,178],"no":[22],"interest.":[23],"Filters":[24],"that":[25,141],"estimate":[26],"interest":[28,48],"each":[30],"incoming":[31,44],"post":[32,92],"can":[33,120],"alleviate":[34],"this":[35],"problem,":[36],"for":[37,94,177],"example":[38],"allowing":[40],"users":[41,140],"to":[42,64,82,87,124,146,162],"sort":[43],"posts":[45,67,79,83,105],"predicted":[47],"(e.g.,":[49,84],"\"top":[50],"stories\"":[51],"vs.":[52],"\"most":[53],"recent\"":[54],"in":[55,68,171],"Facebook).":[56],"Global":[57,71],"personal":[59,100,163,179],"filters":[60,72,101,119,143,153,167,180],"have":[61,182],"been":[62],"used":[63],"detect":[65],"interesting":[66,90],"social":[69],"networks.":[70],"trained":[74,103,145,156],"large":[76],"collections":[77],"reactions":[81,113],"retweets),":[85],"aiming":[86],"predict":[88],"how":[89],"a":[91,95,108,125],"broad":[96],"audience.":[97],"In":[98],"contrast,":[99],"received":[106],"particular":[109,116,126],"user":[110],"user.":[117],"Personal":[118],"provide":[121],"recommendations":[122],"tailored":[123],"user's":[127],"interests,":[128],"may":[130,168,181],"not":[131],"coincide":[132],"with":[133,174],"interests":[135],"majority":[138],"global":[142,152,166],"predict.":[147],"On":[148],"other":[150],"hand,":[151],"typically":[155],"much":[158],"larger":[159],"datasets":[160],"compared":[161],"filters.":[164],"Hence,":[165],"work":[169],"better":[170],"practice,":[172],"especially":[173],"new":[175],"users,":[176],"very":[183],"few":[184],"training":[185],"instances":[186],"(\"cold":[187],"start\"":[188],"problem).":[189]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}