{"id":"https://openalex.org/W2975457655","doi":"https://doi.org/10.1145/3341981.3344247","title":"Exploratory Search Pipes with Scoped Facets","display_name":"Exploratory Search Pipes with Scoped Facets","publication_year":2019,"publication_date":"2019-09-26","ids":{"openalex":"https://openalex.org/W2975457655","doi":"https://doi.org/10.1145/3341981.3344247","mag":"2975457655"},"language":"en","primary_location":{"id":"doi:10.1145/3341981.3344247","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341981.3344247","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 ACM SIGIR International Conference on Theory of 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/A5087022274","display_name":"Tim Gollub","orcid":"https://orcid.org/0000-0003-1737-6517"},"institutions":[{"id":"https://openalex.org/I51441396","display_name":"Bauhaus-Universit\u00e4t Weimar","ror":"https://ror.org/033bb5z47","country_code":"DE","type":"education","lineage":["https://openalex.org/I51441396"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Tim Gollub","raw_affiliation_strings":["Bauhaus-Universit\u00e4t Weimar, Weimar, Germany"],"affiliations":[{"raw_affiliation_string":"Bauhaus-Universit\u00e4t Weimar, Weimar, Germany","institution_ids":["https://openalex.org/I51441396"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062938494","display_name":"Leon Hutans","orcid":null},"institutions":[{"id":"https://openalex.org/I51441396","display_name":"Bauhaus-Universit\u00e4t Weimar","ror":"https://ror.org/033bb5z47","country_code":"DE","type":"education","lineage":["https://openalex.org/I51441396"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Leon Hutans","raw_affiliation_strings":["Bauhaus-Universit\u00e4t Weimar, Weimar, Germany"],"affiliations":[{"raw_affiliation_string":"Bauhaus-Universit\u00e4t Weimar, Weimar, Germany","institution_ids":["https://openalex.org/I51441396"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010668244","display_name":"Tanveer Al Jami","orcid":null},"institutions":[{"id":"https://openalex.org/I51441396","display_name":"Bauhaus-Universit\u00e4t Weimar","ror":"https://ror.org/033bb5z47","country_code":"DE","type":"education","lineage":["https://openalex.org/I51441396"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tanveer Al Jami","raw_affiliation_strings":["Bauhaus-Universit\u00e4t Weimar, Weimar, Germany"],"affiliations":[{"raw_affiliation_string":"Bauhaus-Universit\u00e4t Weimar, Weimar, Germany","institution_ids":["https://openalex.org/I51441396"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027915931","display_name":"Benno Stein","orcid":"https://orcid.org/0000-0001-9033-2217"},"institutions":[{"id":"https://openalex.org/I51441396","display_name":"Bauhaus-Universit\u00e4t Weimar","ror":"https://ror.org/033bb5z47","country_code":"DE","type":"education","lineage":["https://openalex.org/I51441396"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Benno Stein","raw_affiliation_strings":["Bauhaus-Universit\u00e4t Weimar, Weimar, Germany"],"affiliations":[{"raw_affiliation_string":"Bauhaus-Universit\u00e4t Weimar, Weimar, Germany","institution_ids":["https://openalex.org/I51441396"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087022274"],"corresponding_institution_ids":["https://openalex.org/I51441396"],"apc_list":null,"apc_paid":null,"fwci":1.0174,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.83303477,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"245","last_page":"248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9980000257492065,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9927999973297119,"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":0.6693652272224426}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6693652272224426}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3341981.3344247","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341981.3344247","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W16128758","https://openalex.org/W655855333","https://openalex.org/W1576094819","https://openalex.org/W1617708793","https://openalex.org/W1917049784","https://openalex.org/W1991332152","https://openalex.org/W1994100719","https://openalex.org/W1996764654","https://openalex.org/W1998084297","https://openalex.org/W2014550837","https://openalex.org/W2037802158","https://openalex.org/W2118322263","https://openalex.org/W2141216832","https://openalex.org/W2151561903","https://openalex.org/W2429924458","https://openalex.org/W2918080118"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2093578348","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2049775471","https://openalex.org/W2350741829","https://openalex.org/W3004735627"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"faceted":[3,18,144],"search":[4,12,19,61,82,125,145,150],"technology":[5],"tailored":[6],"to":[7,16,54,70,123,142],"the":[8,36,39,48,60,71,76,90,95,106,115],"peculiarities":[9],"of":[10,105,138],"exploratory":[11,81,124,149],"tasks.":[13,151],"In":[14],"contrast":[15],"traditional":[17,143],"systems,":[20],"facets":[21,40],"in":[22,41,114],"our":[23,80,139],"system":[24,140],"are":[25,31,44,52],"arranged":[26],"as":[27],"a":[28,42,55,68,102,119,131],"pipe,":[29],"i.e.,":[30],"applied":[32,46],"sequentially":[33],"one":[34],"after":[35],"other.":[37],"Moreover,":[38],"pipe":[43],"not":[45],"throughout":[47],"whole":[49],"sequence,":[50],"but":[51],"limited":[53],"user-definable":[56],"scope,":[57],"such":[58],"that":[59,111],"query":[62],"can":[63],"be":[64],"broadened":[65],"by":[66,94],"adding":[67],"facet":[69,91],"pipe.":[72],"By":[73],"this":[74,112],"modification,":[75],"user":[77,128],"interaction":[78,116],"with":[79,130],"engine":[83],"resembles":[84],"rather":[85],"an":[86,135],"open":[87],"walk":[88],"through":[89],"space":[92],"spanned":[93],"connections":[96],"between":[97],"documents":[98],"and":[99],"facets,":[100],"than":[101],"progressive":[103],"filtering":[104],"document":[107],"collection.":[108],"We":[109],"argue":[110],"shift":[113],"paradigm":[117],"is":[118],"much":[120],"better":[121],"fit":[122],"scenarios.":[126],"A":[127],"study":[129],"prototype":[132],"implementation":[133],"attests":[134],"improved":[136],"usability":[137],"compared":[141],"systems":[146],"for":[147],"complex":[148]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
