{"id":"https://openalex.org/W73565369","doi":null,"title":"Programming Collective Intelligence","display_name":"Programming Collective Intelligence","publication_year":2007,"publication_date":"2007-08-01","ids":{"openalex":"https://openalex.org/W73565369","mag":"73565369"},"language":"en","primary_location":{"id":"mag:73565369","doi":null,"is_oa":false,"landing_page_url":"https://dl.acm.org/citation.cfm?id=1406354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"parent_works":[],"lineage":["https://openalex.org/W73565369"],"child_works_count":0,"type":"book","is_traditional":true,"indexed_in":[],"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/A5084502472","display_name":"Toby Segaran","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Toby Segaran","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5084502472"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":16.5781,"has_fulltext":false,"cited_by_count":214,"citation_normalized_percentile":{"value":0.98810269,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":100},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14435","display_name":"Information Retrieval and Data Mining","score":0.4602000117301941,"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/T14435","display_name":"Information Retrieval and Data Mining","score":0.4602000117301941,"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":0.37279999256134033,"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":0.05590000003576279,"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/collective-intelligence","display_name":"collective intelligence","score":0.9079999923706055},{"id":"https://openalex.org/keywords/web-2-0-applications","display_name":"Web 2.0 applications","score":0.9700000286102295},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"collaborative filtering","score":0.9470000267028809},{"id":"https://openalex.org/keywords/recommender-systems","display_name":"recommender systems","score":0.8289999961853027},{"id":"https://openalex.org/keywords/clustering","display_name":"clustering","score":0.847000002861023},{"id":"https://openalex.org/keywords/search-engines","display_name":"search engines","score":0.8209999799728394},{"id":"https://openalex.org/keywords/pagerank","display_name":"PageRank","score":0.9419999718666077},{"id":"https://openalex.org/keywords/optimization-algorithms","display_name":"optimization algorithms","score":0.8849999904632568},{"id":"https://openalex.org/keywords/bayesian-filtering","display_name":"Bayesian filtering","score":0.9909999966621399},{"id":"https://openalex.org/keywords/spam-filtering","display_name":"spam filtering","score":0.9750000238418579},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.9980000257492065},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"regression analysis","score":0.6700000166893005},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.8740000128746033},{"id":"https://openalex.org/keywords/online-dating","display_name":"online dating","score":0.6819999814033508},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"non-negative matrix factorization","score":0.9800000190734863},{"id":"https://openalex.org/keywords/evolutionary-algorithms","display_name":"evolutionary algorithms","score":0.6589999794960022},{"id":"https://openalex.org/keywords/machine-learning-algorithms","display_name":"machine learning algorithms","score":0.7799999713897705},{"id":"https://openalex.org/keywords/social-data-mining","display_name":"social data mining","score":0.5009999871253967}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7343506813049316},{"id":"https://openalex.org/C176504155","wikidata":"https://www.wikidata.org/wiki/Q4943254","display_name":"Bookmarking","level":2,"score":0.6791350841522217},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5116877555847168},{"id":"https://openalex.org/C2779172887","wikidata":"https://www.wikidata.org/wiki/Q184316","display_name":"PageRank","level":2,"score":0.5008933544158936},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4870195984840393},{"id":"https://openalex.org/C89057211","wikidata":"https://www.wikidata.org/wiki/Q432197","display_name":"Collective intelligence","level":2,"score":0.4463196098804474},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.44580283761024475},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.44469428062438965},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.430909126996994},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33186596632003784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27652546763420105},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:73565369","doi":null,"is_oa":false,"landing_page_url":"https://dl.acm.org/citation.cfm?id=1406354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1608094059","https://openalex.org/W1526740443","https://openalex.org/W247146015","https://openalex.org/W2051353386","https://openalex.org/W7024087588","https://openalex.org/W70332033","https://openalex.org/W1599312242","https://openalex.org/W1568300172","https://openalex.org/W7052439771","https://openalex.org/W2364798041"],"abstract_inverted_index":{"Want":[0],"to":[1,26,51,93,151,158,186,213,217,229,235,244,282,299,314,335,371],"tap":[2],"the":[3,28,37,40,71,83,176,191,219,246,268,280,294,340,355,377],"power":[4],"behind":[5],"search":[6,181],"rankings,":[7],"product":[8],"recommendations,":[9],"social":[10,374],"bookmarking,":[11],"and":[12,67,69,88,90,102,113,123,175,189,206,292,319],"online":[13,149,239],"matchmaking?":[14],"This":[15,141],"fascinating":[16],"book":[17,142,347,384],"demonstrates":[18],"how":[19,92,257],"you":[20,46,81,112],"can":[21,47,128,322,367],"build":[22,230],"Web":[23,378],"2.0":[24],"applications":[25,291],"mine":[27],"enormous":[29],"amount":[30],"of":[31,63,85,156,161,183,296,307,325,339,352,359,373],"data":[32,60,72,298],"created":[33],"by":[34,263],"people":[35,237],"on":[36,132,203],"Internet.":[38],"With":[39],"sophisticated":[41],"algorithms":[42,179,281,318,361],"in":[43,105,164,196,238,249],"this":[44,383],"book,":[45],"write":[48],"smart":[49],"programs":[50],"access":[52],"interesting":[53],"datasets":[54],"from":[55,61,109],"other":[56,207],"web":[57,134],"sites,":[58],"collect":[59,115],"users":[62],"your":[64,133],"own":[65,266],"applications,":[66],"analyze":[68],"understand":[70],"once":[73],"you've":[74],"found":[75],"it.":[76],"Programming":[77],"Collective":[78,403],"Intelligence":[79],"takes":[80],"into":[82,362],"world":[84],"machine":[86],"learning":[87],"statistics,":[89],"explains":[91],"draw":[94],"conclusions":[95],"about":[96],"user":[97],"experience,":[98],"marketing,":[99],"personal":[100],"tastes,":[101],"human":[103],"behavior":[104],"general":[106],"--":[107,170,256,342,399],"all":[108],"information":[110],"that":[111,127,147,180,366],"others":[114],"every":[116],"day.":[117],"Each":[118,274],"algorithm":[119],"is":[120],"described":[121],"clearly":[122],"concisely":[124],"with":[125],"code":[126,267],"immediately":[129],"be":[130,368],"used":[131,195],"site,":[135],"blog,":[136],"Wiki,":[137],"or":[138,154],"specialized":[139],"application.":[140],"explains:":[143],"Collaborative":[144],"filtering":[145],"techniques":[146],"enable":[148],"retailers":[150],"recommend":[152],"products":[153],"mediaMethods":[155],"clustering":[157],"detect":[159],"groups":[160],"similar":[162],"items":[163],"a":[165,187,250,258,272,308,312,326,349],"large":[166],"datasetSearch":[167],"engine":[168],"features":[169,248],"crawlers,":[171],"indexers,":[172],"query":[173],"engines,":[174],"PageRank":[177],"algorithmOptimization":[178],"millions":[182],"possible":[184],"solutions":[185],"problem":[188,254],"choose":[190],"best":[192],"oneBayesian":[193],"filtering,":[194],"spam":[197],"filters":[198],"for":[199,253,278,301,311,329],"classifying":[200],"documents":[201],"based":[202],"word":[204],"types":[205],"featuresUsing":[208],"decision":[209],"trees":[210],"not":[211],"only":[212],"make":[214,283],"predictions,":[215],"but":[216],"model":[218],"way":[220,310,328],"decisions":[221],"are":[222],"madePredicting":[223],"numerical":[224],"values":[225],"rather":[226],"than":[227],"classifications":[228],"price":[231],"modelsSupport":[232],"vector":[233],"machines":[234],"match":[236],"dating":[240],"sitesNon-negative":[241],"matrix":[242],"factorization":[243],"find":[245],"independent":[247],"datasetEvolving":[251],"intelligence":[252],"solving":[255],"computer":[259],"develops":[260],"its":[261,265],"skill":[262],"improving":[264],"more":[269,285],"it":[270,388],"plays":[271],"game":[273],"chapter":[275],"includes":[276],"exercises":[277],"extending":[279],"them":[284],"powerful.":[286],"Go":[287],"beyond":[288],"simple":[289],"database-backed":[290],"put":[293],"wealth":[295],"Internet":[297],"work":[300],"you.":[302],"Bravo!":[303],"I":[304,323,381],"cannot":[305],"think":[306,324],"better":[309,327],"developer":[313],"first":[315],"learn":[316],"these":[317],"methods,":[320],"nor":[321],"me":[330],"(an":[331],"old":[332],"AI":[333],"dog)":[334],"reinvigorate":[336],"my":[337],"knowledge":[338],"details.":[341],"Dan":[343],"Russell,":[344],"Google":[345],"Toby's":[346],"does":[348],"great":[350],"job":[351],"breaking":[353],"down":[354,395],"complex":[356],"subject":[357],"matter":[358],"machine-learning":[360],"practical,":[363],"easy-to-understand":[364],"examples":[365],"directly":[369],"applied":[370],"analysis":[372],"interaction":[375],"across":[376],"today.":[379],"If":[380],"had":[382],"two":[385],"years":[386],"ago,":[387],"would":[389],"have":[390],"saved":[391],"precious":[392],"time":[393],"going":[394],"some":[396],"fruitless":[397],"paths.":[398],"Tim":[400],"Wolters,":[401],"CTO,":[402],"Intellect":[404]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":16},{"year":2013,"cited_by_count":16},{"year":2012,"cited_by_count":23}],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2016-06-24T00:00:00"}
