{"id":"https://openalex.org/W4327909849","doi":"https://doi.org/10.1145/3576840.3578279","title":"Representing Tasks with a Graph-Based Method for Supporting Users in Complex Search Tasks","display_name":"Representing Tasks with a Graph-Based Method for Supporting Users in Complex Search Tasks","publication_year":2023,"publication_date":"2023-03-19","ids":{"openalex":"https://openalex.org/W4327909849","doi":"https://doi.org/10.1145/3576840.3578279"},"language":"en","primary_location":{"id":"doi:10.1145/3576840.3578279","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3576840.3578279","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3576840.3578279","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 Conference on Human Information Interaction and Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3576840.3578279","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043347333","display_name":"Shawon Sarkar","orcid":"https://orcid.org/0000-0003-2551-211X"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shawon Sarkar","raw_affiliation_strings":["University of Washington, USA"],"raw_orcid":"https://orcid.org/0000-0003-2551-211X","affiliations":[{"raw_affiliation_string":"University of Washington, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023630015","display_name":"Maryam Amirizaniani","orcid":"https://orcid.org/0000-0002-6142-0637"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maryam Amirizaniani","raw_affiliation_strings":["University of Washington, USA"],"raw_orcid":"https://orcid.org/0000-0002-6142-0637","affiliations":[{"raw_affiliation_string":"University of Washington, USA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061319881","display_name":"Chirag Shah","orcid":"https://orcid.org/0000-0002-3797-4293"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chirag Shah","raw_affiliation_strings":["University of Washington, USA"],"raw_orcid":"https://orcid.org/0000-0002-3797-4293","affiliations":[{"raw_affiliation_string":"University of Washington, USA","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":2.5637,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.90898021,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"378","last_page":"382"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9976000189781189,"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":0.996999979019165,"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":0.8426814079284668},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6220656633377075},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.540367066860199},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.5272706151008606},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44730278849601746},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4396585524082184},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43569308519363403},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.43361324071884155},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38361111283302307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3775821328163147},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.18518143892288208},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.14023375511169434}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8426814079284668},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6220656633377075},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.540367066860199},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.5272706151008606},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44730278849601746},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4396585524082184},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43569308519363403},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.43361324071884155},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38361111283302307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3775821328163147},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18518143892288208},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.14023375511169434},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3576840.3578279","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3576840.3578279","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3576840.3578279","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 Conference on Human Information Interaction and Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3576840.3578279","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3576840.3578279","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3576840.3578279","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 Conference on Human Information Interaction and Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8790622774","display_name":null,"funder_award_id":"III-1717488","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4327909849.pdf","grobid_xml":"https://content.openalex.org/works/W4327909849.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W563197666","https://openalex.org/W1486461153","https://openalex.org/W1921743246","https://openalex.org/W1972882261","https://openalex.org/W1975409939","https://openalex.org/W1978365874","https://openalex.org/W1981261334","https://openalex.org/W1994305268","https://openalex.org/W2075169128","https://openalex.org/W2104255729","https://openalex.org/W2108862644","https://openalex.org/W2116938310","https://openalex.org/W2122099685","https://openalex.org/W2158254843","https://openalex.org/W2171392812","https://openalex.org/W2209694002","https://openalex.org/W2329553603","https://openalex.org/W2621525845","https://openalex.org/W2740934577","https://openalex.org/W2741992952","https://openalex.org/W2922012916","https://openalex.org/W2954208841","https://openalex.org/W2954800510","https://openalex.org/W3000163445","https://openalex.org/W3004507689","https://openalex.org/W3015735329","https://openalex.org/W3102066094","https://openalex.org/W3103513278","https://openalex.org/W3105979796","https://openalex.org/W4211257023"],"related_works":["https://openalex.org/W2381242807","https://openalex.org/W3126131230","https://openalex.org/W2347541121","https://openalex.org/W2080951048","https://openalex.org/W4288804799","https://openalex.org/W3032237421","https://openalex.org/W2390346111","https://openalex.org/W3011883280","https://openalex.org/W2369082698","https://openalex.org/W2401808953"],"abstract_inverted_index":{"Despite":[0],"the":[1,168],"considerable":[2],"advancements":[3],"in":[4,11,60,91,97,101,137],"modern":[5],"search":[6,12,40,43,51,80,92,125,131,154],"systems":[7,146],"for":[8,18,23,115],"assisting":[9],"users":[10,96],"tasks":[13,20,30,119,129],"of":[14,68,140,158,170],"varying":[15],"types,":[16],"support":[17,95],"complex":[19,78],"that":[21],"call":[22],"multi-round":[24],"interactions":[25],"remains":[26],"challenging.":[27],"Identifying":[28],"users\u2019":[29,123,153],"is":[31,55],"essential":[32],"to":[33,45,76,94,120,147],"understanding":[34],"their":[35],"evolving":[36],"information":[37,62,79,151],"needs":[38],"and":[39,47,70,117,176],"goals":[41],"during":[42],"sessions":[44],"simulate":[46],"achieve":[48],"real-time":[49],"adaptive":[50,103],"retrievals;":[52],"thus,":[53],"it":[54],"a":[56,66,83,109,178],"crucial":[57],"research":[58,180],"thrust":[59],"interactive":[61,124],"retrieval":[63],"(IIR).":[64],"While":[65],"series":[67],"descriptive":[69],"formal":[71],"models":[72],"have":[73],"been":[74],"proposed":[75,172],"characterize":[77],"sessions,":[81],"only":[82],"few":[84],"focus":[85],"on":[86,162,182],"leveraging":[87],"dynamic":[88],"task":[89,99,141,150,173],"features":[90],"personalizations":[93],"different":[98],"stages":[100],"an":[102],"fashion.":[104],"This":[105],"preliminary":[106],"study":[107],"presents":[108],"heterogeneous":[110],"graph":[111],"neural":[112],"network":[113],"model":[114,175],"extracting":[116],"representing":[118],"better":[121],"understand":[122],"processes":[126],"by":[127],"connecting":[128],"with":[130],"interactions.":[132],"Our":[133],"approach\u2019s":[134],"novelty":[135],"lies":[136],"our":[138,159,171],"application":[139],"representation":[142,174],"learning,":[143],"which":[144],"enables":[145],"extract":[148],"hidden":[149],"from":[152],"behaviors.":[155],"The":[156],"results":[157],"evaluative":[160],"experiments":[161],"TREC":[163],"Session":[164],"track":[165],"data":[166],"highlight":[167],"value":[169],"illustrate":[177],"promising":[179],"direction":[181],"task-oriented":[183],"intelligent":[184],"systems.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
