{"id":"https://openalex.org/W2986522247","doi":"https://doi.org/10.1145/3458553.3458566","title":"Modeling user information needs on mobile devices","display_name":"Modeling user information needs on mobile devices","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W2986522247","doi":"https://doi.org/10.1145/3458553.3458566","mag":"2986522247"},"language":"en","primary_location":{"id":"doi:10.1145/3458553.3458566","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3458553.3458566","pdf_url":null,"source":{"id":"https://openalex.org/S6756005","display_name":"ACM SIGIR Forum","issn_l":"0163-5840","issn":["0163-5840","1558-0229"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGIR Forum","raw_type":"journal-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/A5063466614","display_name":"Mohammad Aliannejadi","orcid":"https://orcid.org/0000-0002-9447-4172"},"institutions":[{"id":"https://openalex.org/I57201433","display_name":"Universit\u00e0 della Svizzera italiana","ror":"https://ror.org/03c4atk17","country_code":"CH","type":"education","lineage":["https://openalex.org/I57201433"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Mohammad Aliannejadi","raw_affiliation_strings":["Universit\u00e0 della Svizzera italiana (USI)"],"affiliations":[{"raw_affiliation_string":"Universit\u00e0 della Svizzera italiana (USI)","institution_ids":["https://openalex.org/I57201433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5063466614"],"corresponding_institution_ids":["https://openalex.org/I57201433"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20302407,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"53","issue":"2","first_page":"98","last_page":"99"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9975000023841858,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9975000023841858,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9961000084877014,"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":0.9944000244140625,"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/computer-science","display_name":"Computer science","score":0.9056437015533447},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6632835268974304},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5673109889030457},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.565231442451477},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5648009181022644},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5611528158187866},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49352824687957764},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46563640236854553},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4645070731639862},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.44943228363990784},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4452725350856781},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.4110792577266693},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4035103917121887},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3435628116130829},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.31681370735168457}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9056437015533447},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6632835268974304},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5673109889030457},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.565231442451477},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5648009181022644},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5611528158187866},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49352824687957764},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46563640236854553},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4645070731639862},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.44943228363990784},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4452725350856781},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.4110792577266693},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4035103917121887},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3435628116130829},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.31681370735168457},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3458553.3458566","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3458553.3458566","pdf_url":null,"source":{"id":"https://openalex.org/S6756005","display_name":"ACM SIGIR Forum","issn_l":"0163-5840","issn":["0163-5840","1558-0229"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGIR Forum","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2825858716","https://openalex.org/W2896682723","https://openalex.org/W2922530940","https://openalex.org/W2955157382","https://openalex.org/W2964239943","https://openalex.org/W3098012129","https://openalex.org/W3105420278","https://openalex.org/W3105690102","https://openalex.org/W4290960455"],"related_works":["https://openalex.org/W3175610199","https://openalex.org/W2392634181","https://openalex.org/W1485340534","https://openalex.org/W4385242450","https://openalex.org/W3042298328","https://openalex.org/W3153633758","https://openalex.org/W2166738765","https://openalex.org/W1980607706","https://openalex.org/W2161684601","https://openalex.org/W4221102078"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,26,72,78,234,294,305,445,471],"the":[3,14,34,83,185,231,260,300,308,316,323,348,382,454,485,493,503,510],"development":[4],"of":[5,16,18,33,37,76,97,108,130,162,254,259,289,303,307,315,326,347,351,385,415,440,473,492],"mobile":[6,67,91,112,222,227,353,386],"devices":[7,23,68,92],"equipped":[8],"with":[9,13,203,322],"multiple":[10,149,160,196],"sensors,":[11,38],"together":[12],"availability":[15,32],"millions":[17],"applications,":[19],"have":[20],"made":[21],"these":[22],"more":[24,312,338,498],"pervasive":[25],"our":[27,191,204],"lives":[28],"than":[29,313,502],"ever.":[30],"The":[31,426],"diverse":[35],"set":[36],"as":[39,41],"well":[40],"high":[42,447],"computational":[43],"power,":[44],"enable":[45],"information":[46,71,88,98,109,155,163,183],"retrieval":[47,412,500],"(IR)":[48],"systems":[49],"to":[50,69,120,194,207,271,334,466],"sense":[51],"a":[52,73,168,209,218,251,337,398,411,441,446,489,497],"user's":[53],"context,":[54],"and":[55,136,141,181,200,216,237,279,297,396,423,428,475],"personalize":[56],"their":[57,66,376],"results":[58],"accordingly.":[59],"Relevant":[60],"studies":[61],"show":[62,249,275,286],"that":[63,85,156,224,250,276,287,311,331,369,431,458,480],"people":[64],"use":[65],"access":[70,110],"wide":[74],"range":[75],"topics":[77],"various":[79],"contextual":[80],"situations,":[81],"highlighting":[82],"fact":[84],"modeling":[86,121,238],"user":[87,131],"need":[89],"on":[90,111,117,139,148,221,345,375,453],"involves":[93],"studying":[94],"several":[95],"means":[96],"access.":[99],"In":[100,450],"this":[101,239,329,362],"thesis,":[102],"we":[103,115,157,214,342,364,380,390,409,478,505],"study":[104],"three":[105,128,416],"significant":[106],"aspects":[107],"devices.":[113],"First,":[114],"focus":[116],"proactive":[118],"approaches":[119,368],"users":[122,304,332],"for":[123,173,400,404,488],"venue":[124],"suggestion.":[125],"We":[126,165,188,229,263,274,284],"investigate":[127,217],"methods":[129],"modeling,":[132],"namely,":[133],"content-based,":[134],"collaborative,":[135],"hybrid,":[137],"focusing":[138],"personalization":[140],"context-awareness.":[142],"Our":[143,247],"content-based":[144,205],"model":[145,186,193,456,501],"is":[146,357],"based":[147,374],"relevance":[150],"scores":[151,199],"derived":[152],"from":[153,159],"multi-modal":[154],"collected":[158],"sources":[161],"[1].":[164],"further":[166,264],"propose":[167,365,391,410],"two-phase":[169],"collaborative":[170,192],"ranking":[171],"algorithm":[172],"leveraging":[174],"users'":[175],"implicit":[176],"feedback":[177],"while":[178],"incorporating":[179],"temporal":[180],"geographical":[182],"into":[184],"[3].":[187],"then":[189],"extend":[190],"include":[195],"cross-venue":[197],"similarity":[198],"combine":[201],"it":[202,298],"approach":[206],"produce":[208],"hybrid":[210],"recommendation":[211],"[2].":[212],"Second,":[213],"introduce":[215],"new":[219],"task":[220,240],"search,":[223],"is,":[225],"unified":[226,352],"search.":[228],"take":[230],"first":[232],"step":[233],"defining,":[235],"studying,":[236],"by":[241],"collecting":[242],"two":[243,366],"datasets":[244],"[5,":[245],"4].":[246],"analyses":[248,429],"limited":[252],"number":[253],"popular":[255],"apps":[256,359],"attract":[257],"most":[258],"search":[261,290,335,354,387,406],"queries.":[262,378],"observe":[265],"notable":[266],"differences":[267],"between":[268],"queries":[269,291],"submitted":[270],"different":[272],"apps.":[273,283],"query":[277],"length":[278],"content":[280],"differ":[281],"among":[282],"also":[285],"39%":[288],"were":[292],"done":[293,321],"Google":[295,327],"Search,":[296,328],"was":[299],"top":[301],"choice":[302],"35%":[306],"tasks.":[309],"Given":[310],"71%":[314],"defined":[317],"tasks":[318],"could":[319,507],"be":[320,436],"current":[324],"features":[325],"indicates":[330],"prefer":[333],"using":[336],"specific":[339],"app.":[340],"Also,":[341,408],"conduct":[343],"experiments":[344,427,452],"one":[346,461,504],"main":[349,417],"components":[350],"frameworks,":[355],"which":[356],"target":[358],"selection.":[360],"To":[361],"end,":[363],"neural":[367],"learn":[370],"high-dimensional":[371],"app":[372],"representations":[373],"respective":[377],"Finally,":[379],"address":[381],"conversational":[383,405,442],"aspect":[384],",":[388],"where":[389],"an":[392,437],"offline":[393],"evaluation":[394],"protocol":[395],"build":[397],"dataset":[399],"asking":[401,432,459,481],"clarifying":[402,433,463,482],"questions":[403,434,483],"[6].":[407],"framework":[413],"consisting":[414],"components:":[418],"question":[419,421,464],"retrieval,":[420],"selection,":[422],"document":[424],"retrieval.":[425],"indicate":[430],"should":[435],"essential":[438],"part":[439],"system,":[443],"resulting":[444],"performance":[448,487],"gain.":[449],"particular,":[451],"oracle":[455],"demonstrated":[457],"only":[460],"good":[462],"leads":[465],"over":[467],"150%":[468],"relative":[469],"improvement":[470],"terms":[472],"P@1":[474],"nDCG@1.":[476],"Moreover,":[477],"observed":[479],"improves":[484],"model's":[486],"substantial":[490],"percentage":[491],"facets,":[494],"even":[495],"though":[496],"effective":[499],"used":[506],"potentially":[508],"improve":[509],"performance.":[511]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
