{"id":"https://openalex.org/W2741500727","doi":"https://doi.org/10.1145/3077136.3080795","title":"Evaluating Mobile Search with Height-Biased Gain","display_name":"Evaluating Mobile Search with Height-Biased Gain","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2741500727","doi":"https://doi.org/10.1145/3077136.3080795","mag":"2741500727"},"language":"en","primary_location":{"id":"doi:10.1145/3077136.3080795","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3077136.3080795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval","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/A5064061862","display_name":"Cheng Luo","orcid":"https://orcid.org/0000-0001-9906-7827"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cheng Luo","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100668121","display_name":"Yiqun Liu","orcid":"https://orcid.org/0000-0002-0140-4512"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqun Liu","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023595778","display_name":"Tetsuya Sakai","orcid":"https://orcid.org/0000-0002-6720-963X"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Sakai","raw_affiliation_strings":["Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100403540","display_name":"Fan Zhang","orcid":"https://orcid.org/0000-0003-0831-7371"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Zhang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402996","display_name":"Min Zhang","orcid":"https://orcid.org/0000-0003-3158-1920"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Zhang","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100760812","display_name":"Shaoping Ma","orcid":"https://orcid.org/0000-0002-8762-8268"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoping Ma","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5064061862"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":9.6726,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.97993014,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"435","last_page":"444"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9990000128746033,"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":0.9990000128746033,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9983000159263611,"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":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/snippet","display_name":"Snippet","score":0.9219373464584351},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.846566915512085},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.7404096126556396},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5556047558784485},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.5434527397155762},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.5354236960411072},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5292367935180664},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.4562671184539795},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4479689598083496},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.41070806980133057},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3506947457790375},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3271980881690979},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11553892493247986}],"concepts":[{"id":"https://openalex.org/C2777822670","wikidata":"https://www.wikidata.org/wiki/Q1120538","display_name":"Snippet","level":2,"score":0.9219373464584351},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.846566915512085},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7404096126556396},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5556047558784485},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.5434527397155762},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.5354236960411072},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5292367935180664},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.4562671184539795},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4479689598083496},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.41070806980133057},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3506947457790375},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3271980881690979},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11553892493247986},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3077136.3080795","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3077136.3080795","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G5799711014","display_name":null,"funder_award_id":"61622208, 61532011, 61672311","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W35977024","https://openalex.org/W1531450291","https://openalex.org/W1948287798","https://openalex.org/W1968927634","https://openalex.org/W1973602439","https://openalex.org/W1981888042","https://openalex.org/W1982584634","https://openalex.org/W1987438896","https://openalex.org/W1988619666","https://openalex.org/W1992411228","https://openalex.org/W2000432130","https://openalex.org/W2026430213","https://openalex.org/W2029009258","https://openalex.org/W2031858317","https://openalex.org/W2037140704","https://openalex.org/W2043382629","https://openalex.org/W2058896506","https://openalex.org/W2069870183","https://openalex.org/W2086511124","https://openalex.org/W2093495945","https://openalex.org/W2106404250","https://openalex.org/W2113640060","https://openalex.org/W2119074598","https://openalex.org/W2126712138","https://openalex.org/W2130076000","https://openalex.org/W2134504514","https://openalex.org/W2137274315","https://openalex.org/W2141650953","https://openalex.org/W2152679188","https://openalex.org/W2163632538","https://openalex.org/W2170386691","https://openalex.org/W2233810905","https://openalex.org/W2340502990","https://openalex.org/W2403321187","https://openalex.org/W2408005573","https://openalex.org/W2513871015","https://openalex.org/W2535228553","https://openalex.org/W2591941243","https://openalex.org/W2611179066"],"related_works":["https://openalex.org/W1607713096","https://openalex.org/W3036724449","https://openalex.org/W2798329462","https://openalex.org/W1511521437","https://openalex.org/W3201315194","https://openalex.org/W4318980730","https://openalex.org/W1484298060","https://openalex.org/W3169572532","https://openalex.org/W2794433798","https://openalex.org/W1716487511"],"abstract_inverted_index":{"Mobile":[0],"search":[1,68,105,215,302],"engine":[2],"result":[3,173,273],"pages":[4],"(SERPs)":[5],"are":[6,48,100,267],"becoming":[7],"highly":[8],"visual":[9],"and":[10,22,113,180,263],"heterogenous.":[11],"Unlike":[12],"the":[13,30,39,53,62,78,95,115,118,125,135,151,155,172,181,186,218,223,258,277,280,285,315],"traditional":[14,34,96],"ten-blue-link":[15,83],"SERPs":[16],"for":[17,51,103,213],"desktop":[18],"search,":[19],"different":[20,25,75],"verticals":[21,112],"cards":[23],"occupy":[24],"amounts":[26],"of":[27,45,56,111,154,165,226,237,260,272,279,287,299,314],"space":[28],"within":[29,77],"small":[31],"screen.":[32],"Hence,":[33],"retrieval":[35],"measures":[36],"that":[37,117,222,266,307],"regard":[38],"SERP":[40,84],"as":[41,233],"a":[42,82,148,193,203,234,246,295],"ranked":[43],"list":[44],"homogeneous":[46],"items":[47,73,132],"not":[49,101],"adequate":[50,102],"evaluating":[52],"overall":[54],"quality":[55],"mobile":[57,67,104,214,301],"SERPs.":[58],"Specifically,":[59],"we":[60,201,220,244,283],"address":[61],"following":[63],"new":[64,247],"problems":[65],"in":[66,85,124,270],"evaluation:":[69],"(1)":[70],"Different":[71],"retrieved":[72],"have":[74,88],"heights":[76,90,225],"scrollable":[79],"SERP,":[80],"unlike":[81],"which":[86,127,252,317],"results":[87,142,156,305],"similar":[89],"with":[91,143,290,310],"each":[92],"other.":[93],"Therefore,":[94],"rank-based":[97],"decaying":[98],"functions":[99],"metrics.":[106,323],"(2)":[107],"For":[108,140],"some":[109,141],"types":[110],"cards,":[114],"information":[116],"user":[119,205,210,238,292,311],"seeks":[120],"is":[121,174,253,318],"already":[122],"embedded":[123],"snippet,":[126],"makes":[128],"clicking":[129],"on":[130,241,294],"those":[131],"to":[133,191,207],"access":[134],"landing":[136],"page":[137],"unnecessary.":[138],"(3)":[139],"complex":[144],"sub-components":[145],"(and":[146],"usually":[147],"large":[149],"height),":[150],"total":[152],"gain":[153,183,261],"cannot":[157],"be":[158,189,231],"obtained":[159],"if":[160],"users":[161],"only":[162],"read":[163],"part":[164],"their":[166],"contents.":[167],"The":[168],"benefit":[169],"brought":[170],"by":[171,176,255],"affected":[175],"user's":[177,227],"reading":[178],"behavior":[179,211],"internal":[182],"distribution":[184,262],"(over":[185],"height)":[187],"should":[188],"modeled":[190,269],"get":[192],"more":[194],"accurate":[195],"estimation.":[196],"To":[197,275],"tackle":[198],"these":[199,242],"problems,":[200],"conduct":[202],"lab-based":[204],"study":[206],"construct":[208],"suitable":[209],"model":[212],"evaluation.":[216],"From":[217],"results,":[219],"find":[221],"geometric":[224],"browsing":[228],"trails":[229],"can":[230],"adopted":[232],"good":[235],"signal":[236],"effort.":[239],"Based":[240],"findings,":[243],"propose":[245],"evaluation":[248,288],"metric,":[249,282],"Height-Biased":[250],"Gain,":[251],"calculated":[254],"summing":[256],"up":[257],"product":[259],"discount":[264],"factors":[265],"both":[268],"terms":[271],"height.":[274],"evaluate":[276],"effectiveness":[278],"proposed":[281],"compare":[284],"agreement":[286],"metrics":[289],"side-by-side":[291],"preferences":[293,312],"test":[296],"collection":[297],"composed":[298],"four":[300],"engines.":[303],"Experimental":[304],"show":[306],"HBG":[308],"agrees":[309],"85.33%":[313],"time,":[316],"better":[319],"than":[320],"all":[321],"existing":[322]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}