{"id":"https://openalex.org/W2018022208","doi":"https://doi.org/10.1145/2009916.2010104","title":"Detecting seasonal queries by time-series analysis","display_name":"Detecting seasonal queries by time-series analysis","publication_year":2011,"publication_date":"2011-07-24","ids":{"openalex":"https://openalex.org/W2018022208","doi":"https://doi.org/10.1145/2009916.2010104","mag":"2018022208"},"language":"en","primary_location":{"id":"doi:10.1145/2009916.2010104","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2009916.2010104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th 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/A5088114671","display_name":"Milad Shokouhi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]},{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["GB","US"],"is_corresponding":true,"raw_author_name":"Milad Shokouhi","raw_affiliation_strings":["Microsoft Research, Cambridge, United Kingdom","Microsoft Research, Cambridge, United Kingdom ("],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft Research, Cambridge, United Kingdom (","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5088114671"],"corresponding_institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"],"apc_list":null,"apc_paid":null,"fwci":17.6752,"has_fulltext":false,"cited_by_count":76,"citation_normalized_percentile":{"value":0.98897607,"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":"1171","last_page":"1172"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","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/T12016","display_name":"Web Data Mining and Analysis","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/T11106","display_name":"Data Management and Algorithms","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9869999885559082,"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":0.699831485748291},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5745819807052612},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.47259315848350525},{"id":"https://openalex.org/keywords/seasonality","display_name":"Seasonality","score":0.4493024945259094},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4187702536582947},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.07024878263473511}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.699831485748291},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5745819807052612},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.47259315848350525},{"id":"https://openalex.org/C125403950","wikidata":"https://www.wikidata.org/wiki/Q2111082","display_name":"Seasonality","level":2,"score":0.4493024945259094},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4187702536582947},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07024878263473511},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2009916.2010104","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2009916.2010104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th international ACM SIGIR conference on Research and development in 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":7,"referenced_works":["https://openalex.org/W1536447791","https://openalex.org/W1710398321","https://openalex.org/W2044002869","https://openalex.org/W2057034832","https://openalex.org/W2085680808","https://openalex.org/W2096761004","https://openalex.org/W6637474270"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2125395284","https://openalex.org/W4282936821","https://openalex.org/W202945371","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Seasonal":[0],"events":[1,20],"such":[2,19,49,64],"as":[3,50,65],"Halloween":[4],"and":[5,10,67,86],"Christmas":[6],"repeat":[7],"every":[8],"year":[9],"initiate":[11],"several":[12],"temporal":[13],"information":[14],"needs.":[15],"The":[16],"impact":[17],"of":[18,31,37],"on":[21],"users":[22],"is":[23,44,76],"often":[24],"reflected":[25],"in":[26,29,34],"search":[27,79],"logs":[28],"form":[30],"seasonal":[32,47,84],"spikes":[33],"the":[35],"frequency":[36],"related":[38],"queries":[39,48,85],"(e.g.":[40,57],"\"halloween":[41],"costumes\",":[42],"\"where":[43],"santa\").":[45],"Many":[46],"\"sigir":[51],"conference\"":[52],"mainly":[53],"target":[54],"fresh":[55],"pages":[56],"sigir2011.org)":[58],"that":[59,89],"have":[60],"less":[61],"usage":[62],"data":[63],"clicks":[66],"anchor-text":[68],"compared":[69],"to":[70,81],"older":[71],"alternatives":[72],"(e.g.sigir2009.org).":[73],"Thus,":[74],"it":[75],"important":[77],"for":[78],"engines":[80],"correctly":[82],"identify":[83],"make":[87],"sure":[88],"their":[90],"results":[91],"are":[92],"temporally":[93],"reordered":[94],"if":[95],"necessary.":[96]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":9}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}
