{"id":"https://openalex.org/W2973649898","doi":"https://doi.org/10.1145/3342220.3343643","title":"Understanding User Search Behavior Across Varying Cognitive Levels","display_name":"Understanding User Search Behavior Across Varying Cognitive Levels","publication_year":2019,"publication_date":"2019-09-12","ids":{"openalex":"https://openalex.org/W2973649898","doi":"https://doi.org/10.1145/3342220.3343643","mag":"2973649898"},"language":"en","primary_location":{"id":"doi:10.1145/3342220.3343643","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3342220.3343643","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM Conference on Hypertext and Social Media","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/A5026092338","display_name":"Rishita Kalyani","orcid":null},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Rishita Kalyani","raw_affiliation_strings":["Leibniz Universit\u00e4t Hannover, Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"Leibniz Universit\u00e4t Hannover, Hannover, Germany","institution_ids":["https://openalex.org/I114112103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038081564","display_name":"Ujwal Gadiraju","orcid":"https://orcid.org/0000-0002-6189-6539"},"institutions":[{"id":"https://openalex.org/I114112103","display_name":"Leibniz University Hannover","ror":"https://ror.org/0304hq317","country_code":"DE","type":"education","lineage":["https://openalex.org/I114112103"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ujwal Gadiraju","raw_affiliation_strings":["Leibniz Universit\u00e4t Hannover, Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"Leibniz Universit\u00e4t Hannover, Hannover, Germany","institution_ids":["https://openalex.org/I114112103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026092338"],"corresponding_institution_ids":["https://openalex.org/I114112103"],"apc_list":null,"apc_paid":null,"fwci":4.4088,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.95072074,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"123","last_page":"132"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9975000023841858,"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/T10286","display_name":"Information Retrieval and Search Behavior","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/T13274","display_name":"Expert finding and Q&A systems","score":0.9921000003814697,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9693999886512756,"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":0.6808638572692871},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.6381405591964722},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.516723096370697},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5043467283248901},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48173788189888},{"id":"https://openalex.org/keywords/search-analytics","display_name":"Search analytics","score":0.4634108245372772},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4533211886882782},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.4292328655719757},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.3701920509338379},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3679225444793701},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3444979190826416},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1902535855770111}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6808638572692871},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.6381405591964722},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.516723096370697},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5043467283248901},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48173788189888},{"id":"https://openalex.org/C14838553","wikidata":"https://www.wikidata.org/wiki/Q7441639","display_name":"Search analytics","level":4,"score":0.4634108245372772},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4533211886882782},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.4292328655719757},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.3701920509338379},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3679225444793701},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3444979190826416},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1902535855770111},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3342220.3343643","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3342220.3343643","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM Conference on Hypertext and Social Media","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G7828278947","display_name":null,"funder_award_id":"60171990","funder_id":"https://openalex.org/F4320335551","funder_display_name":"Erasmus+"}],"funders":[{"id":"https://openalex.org/F4320335551","display_name":"Erasmus+","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W114836994","https://openalex.org/W1530624127","https://openalex.org/W1547481976","https://openalex.org/W1976847349","https://openalex.org/W1983132692","https://openalex.org/W1989462999","https://openalex.org/W2008883775","https://openalex.org/W2057328631","https://openalex.org/W2069049590","https://openalex.org/W2071133258","https://openalex.org/W2071916612","https://openalex.org/W2099926671","https://openalex.org/W2102323443","https://openalex.org/W2116938310","https://openalex.org/W2121044470","https://openalex.org/W2125671490","https://openalex.org/W2150597317","https://openalex.org/W2153505326","https://openalex.org/W2156037541","https://openalex.org/W2162821268","https://openalex.org/W2726137762","https://openalex.org/W2740065698","https://openalex.org/W2758421291","https://openalex.org/W2759861411","https://openalex.org/W2791416360","https://openalex.org/W2794333943","https://openalex.org/W2798833441","https://openalex.org/W2903257353","https://openalex.org/W2941486823","https://openalex.org/W3010150083","https://openalex.org/W3102399347","https://openalex.org/W3146115948","https://openalex.org/W6675337980","https://openalex.org/W6744683197"],"related_works":["https://openalex.org/W2541377119","https://openalex.org/W2576831414","https://openalex.org/W3100478181","https://openalex.org/W4372346753","https://openalex.org/W2062919806","https://openalex.org/W2374021970","https://openalex.org/W2348885786","https://openalex.org/W2547614144","https://openalex.org/W3210975432","https://openalex.org/W2766474880"],"abstract_inverted_index":{"The":[0],"ubiquitous":[1],"accessibility":[2],"of":[3,28,70,103,126],"the":[4,26,67,92,99,115,123,144],"world-wide":[5],"web":[6,13,29],"has":[7,110],"led":[8],"people":[9],"to":[10,15,31,53,79,137,155],"increasingly":[11],"use":[12],"search":[14,30,44,68,76,108,117,132],"learn":[16],"or":[17],"acquire":[18],"new":[19],"knowledge.":[20],"Recent":[21],"research":[22],"efforts":[23],"have":[24],"targeted":[25],"optimization":[27],"satisfy":[32],"learning":[33,101,141,162],"related":[34],"needs.":[35],"However,":[36],"there":[37],"is":[38],"little":[39],"known":[40],"about":[41],"how":[42,66,86],"one's":[43,54],"interactions":[45,69,130],"differ":[46],"across":[47,74,91],"varying":[48],"cognitive":[49,81,93,100,124,158],"levels":[50],"that":[51,98,153],"correspond":[52],"learning.":[55],"In":[56],"this":[57,61],"paper,":[58],"we":[59],"address":[60],"knowledge":[62,88,120],"gap":[63],"by":[64],"investigating":[65],"150":[71],"users":[72,127],"vary":[73],"6":[75],"tasks":[77],"corresponding":[78],"distinct":[80],"levels.":[82,94],"We":[83],"also":[84],"analyze":[85],"users'":[87],"gain":[89],"varies":[90],"Our":[95],"findings":[96],"suggest":[97],"level":[102,125,159],"a":[104,107,111],"user":[105],"in":[106],"session":[109],"significant":[112],"impact":[113],"on":[114],"user's":[116],"behavior":[118],"and":[119,139],"gain.":[121],"Estimating":[122],"during":[128],"their":[129,156,161],"with":[131],"systems":[133],"will":[134],"allow":[135],"us":[136],"construct":[138],"improve":[140],"experiences":[142],"for":[143],"users.":[145],"For":[146],"example,":[147],"learners":[148],"can":[149],"be":[150],"served":[151],"content":[152],"corresponds":[154],"current":[157],"within":[160],"process.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
