{"id":"https://openalex.org/W3001747181","doi":"https://doi.org/10.1145/3336191.3372183","title":"Hybrid Utility Function for Unexpected Recommendations","display_name":"Hybrid Utility Function for Unexpected Recommendations","publication_year":2020,"publication_date":"2020-01-20","ids":{"openalex":"https://openalex.org/W3001747181","doi":"https://doi.org/10.1145/3336191.3372183","mag":"3001747181"},"language":"en","primary_location":{"id":"doi:10.1145/3336191.3372183","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3336191.3372183","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Web Search and Data Mining","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/A5100455171","display_name":"Pan Li","orcid":"https://orcid.org/0000-0001-6522-2446"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pan Li","raw_affiliation_strings":["New York University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"New York University, New York, NY, USA","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100455171"],"corresponding_institution_ids":["https://openalex.org/I57206974"],"apc_list":null,"apc_paid":null,"fwci":0.2669,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60655346,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"5","issue":null,"first_page":"923","last_page":"924"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.667595386505127},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6580424904823303},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6217730641365051},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.5978459119796753},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5906505584716797},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.4724212884902954},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.46943190693855286},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.45035845041275024},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.35003119707107544},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3143226206302643},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1664057970046997},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07021382451057434}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.667595386505127},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6580424904823303},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6217730641365051},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.5978459119796753},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5906505584716797},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.4724212884902954},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.46943190693855286},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.45035845041275024},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.35003119707107544},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3143226206302643},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1664057970046997},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07021382451057434},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3336191.3372183","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3336191.3372183","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Web Search and Data Mining","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":17,"referenced_works":["https://openalex.org/W1547244403","https://openalex.org/W1560799855","https://openalex.org/W1971040550","https://openalex.org/W2031768829","https://openalex.org/W2045453095","https://openalex.org/W2108630796","https://openalex.org/W2161676175","https://openalex.org/W2803794535","https://openalex.org/W2893564970","https://openalex.org/W2908054697","https://openalex.org/W2963409084","https://openalex.org/W2970587220","https://openalex.org/W2970909388","https://openalex.org/W2973142485","https://openalex.org/W2979563851","https://openalex.org/W3125207606","https://openalex.org/W4243863304"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4317039510","https://openalex.org/W4238861846","https://openalex.org/W790944756"],"abstract_inverted_index":{"Unexpectedness":[0],"constitutes":[1],"an":[2],"important":[3],"factor":[4],"for":[5],"recommender":[6],"system":[7],"to":[8,22,43,47],"improve":[9],"user":[10],"satisfaction":[11],"and":[12,39],"avoid":[13],"filter":[14],"bubble":[15],"issues.":[16],"In":[17],"this":[18],"proposal,":[19],"we":[20],"propose":[21],"provide":[23],"unexpected":[24],"recommendations":[25],"using":[26],"the":[27,49,52],"hybrid":[28],"utility":[29],"function":[30],"as":[31],"a":[32],"mixture":[33],"of":[34,51],"estimated":[35],"ratings,":[36],"unexpectedness,":[37],"relevance":[38],"annoyance.":[40],"We":[41],"plan":[42],"conduct":[44],"extensive":[45],"experiments":[46],"validate":[48],"superiority":[50],"proposed":[53],"method.":[54]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
