{"id":"https://openalex.org/W2057028302","doi":"https://doi.org/10.1145/1277741.1277841","title":"Performance prediction using spatial autocorrelation","display_name":"Performance prediction using spatial autocorrelation","publication_year":2007,"publication_date":"2007-07-23","ids":{"openalex":"https://openalex.org/W2057028302","doi":"https://doi.org/10.1145/1277741.1277841","mag":"2057028302"},"language":"en","primary_location":{"id":"doi:10.1145/1277741.1277841","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1277741.1277841","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th annual 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/A5101492251","display_name":"Fernando D\u00edaz","orcid":"https://orcid.org/0000-0003-2345-1288"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Fernando Diaz","raw_affiliation_strings":["University of Massachusetts, Amherst, MA"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts, Amherst, MA","institution_ids":["https://openalex.org/I24603500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101492251"],"corresponding_institution_ids":["https://openalex.org/I24603500"],"apc_list":null,"apc_paid":null,"fwci":15.7656,"has_fulltext":false,"cited_by_count":86,"citation_normalized_percentile":{"value":0.98720999,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"583","last_page":"590"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9937999844551086,"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":0.9937999844551086,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.974399983882904,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9553999900817871,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.796567976474762},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.7785309553146362},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7600311040878296},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.628149688243866},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.49312540888786316},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.463998019695282},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4357690215110779},{"id":"https://openalex.org/keywords/uncorrelated","display_name":"Uncorrelated","score":0.4248099625110626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36784690618515015},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3600613474845886},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14055761694908142},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09716567397117615}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.796567976474762},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.7785309553146362},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7600311040878296},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.628149688243866},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.49312540888786316},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.463998019695282},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4357690215110779},{"id":"https://openalex.org/C169345407","wikidata":"https://www.wikidata.org/wiki/Q8216221","display_name":"Uncorrelated","level":2,"score":0.4248099625110626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36784690618515015},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3600613474845886},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14055761694908142},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09716567397117615},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1277741.1277841","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1277741.1277841","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.156.4264","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.156.4264","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://maroo.cs.umass.edu/pub/web/getpdf.php?id=710","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W110918106","https://openalex.org/W1577798322","https://openalex.org/W1602206323","https://openalex.org/W1666347389","https://openalex.org/W1983595289","https://openalex.org/W2009954908","https://openalex.org/W2027445772","https://openalex.org/W2028521145","https://openalex.org/W2041565863","https://openalex.org/W2056714990","https://openalex.org/W2079370602","https://openalex.org/W2087408015","https://openalex.org/W2096772800","https://openalex.org/W2103569001","https://openalex.org/W2124504084","https://openalex.org/W2130900715","https://openalex.org/W2158201212","https://openalex.org/W2916053749","https://openalex.org/W4238042869","https://openalex.org/W6759216221","https://openalex.org/W7034247073"],"related_works":["https://openalex.org/W2008630378","https://openalex.org/W2118717649","https://openalex.org/W1958015814","https://openalex.org/W2413243053","https://openalex.org/W410723623","https://openalex.org/W2015341305","https://openalex.org/W4225593417","https://openalex.org/W2041353081","https://openalex.org/W1970551129","https://openalex.org/W2581240705"],"abstract_inverted_index":{"Evaluation":[0],"of":[1,7,31,37,45,49,56,66,80,86,92,132,147,157,195],"information":[2,12],"retrieval":[3,38,140,158,196],"systems":[4,197],"is":[5,75,89],"one":[6],"the":[8,16,35,43,47,54,64,90,127,148,154,182],"core":[9],"tasks":[10],"in":[11,102,202],"retrieval.":[13],"Problems":[14],"include":[15],"inability":[17],"to":[18,118,144,175,186],"exhaustively":[19],"label":[20],"all":[21],"documents":[22,99,135],"for":[23,63,191],"a":[24,28,103,138,145,192,199],"topic,":[25],"generalizability":[26],"from":[27,114],"small":[29],"number":[30,194],"topics,":[32],"and":[33,53,68,96],"incorporating":[34],"variability":[36],"systems.":[39],"Previous":[40],"work":[41],"addresses":[42],"evaluation":[44],"systems,":[46],"ranking":[48,55],"queries":[50],"by":[51,59],"difficulty,":[52],"individual":[57,81],"retrievals":[58],"performance.":[60,141,164],"Approaches":[61],"exist":[62],"case":[65],"few":[67],"even":[69],"no":[70],"relevance":[71],"judgments.":[72,97],"Our":[73],"focus":[74],"on":[76],"zero-judgment":[77,188],"performance":[78,177,189],"prediction":[79,163,190],"retrievals.":[82],"One":[83],"common":[84],"shortcoming":[85],"previous":[87],"techniques":[88,113],"assumption":[91],"uncorrelated":[93],"document":[94,122],"scores":[95,131,159],"If":[98],"are":[100],"embedded":[101],"high-dimensional":[104],"space":[105],"(as":[106],"they":[107],"often":[108,136],"are),":[109],"we":[110,151],"can":[111,168],"apply":[112],"spatial":[115,155],"data":[116],"analysis":[117,156],"detect":[119],"correlations":[120],"between":[121,130],"scores.":[123],"We":[124,179],"find":[125],"that":[126,153],"low":[128],"correlation":[129],"topically":[133],"close":[134],"implies":[137],"poor":[139],"When":[142],"compared":[143],"state":[146],"art":[149],"baseline,":[150],"demonstrate":[152],"provides":[160],"significantly":[161],"better":[162],"These":[165],"new":[166],"predictors":[167,174],"also":[169,180],"be":[170],"incorporated":[171],"with":[172],"classic":[173],"improve":[176],"further.":[178],"describe":[181],"first":[183],"large-scale":[184],"experiment":[185],"evaluate":[187],"massive":[193],"over":[198],"variety":[200],"collections":[201],"several":[203],"languages.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":7}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}