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>> [MUSIC PLAYING]

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>> BRAIN SCASSELLATI: Welcome
CS50 AI ad series.

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Scass nomen meum, quod hodie itis
loqui de recommender ratio.

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Nunc recommender systems sonis
huiusmodi nomina imparium.

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Sonat sicut maybe debet
commendationem esse ratio,

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et genus adsentior.

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Sed haec ratio auxilium
lego de similibus quoties

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vos lego aliquid online.

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Netflix, puta suggeret aliis
vos vires volo ut vigilo movies.

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Aut Pandora suggeret different
carmina audire velis.

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Amazon suggeret quales
aliorum emere possis.

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Facebook etiam suadeant
nonnulli ceterorum quoque amicorum

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ut tu vis addere.

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Utrumque autem horum ratio operari usura
idem genus basic algorithm,

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et ut 'quid sumus
iens loqui de in præsentem diem.

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>> Porro filiis Aaron hae sunt algorithms
mire magnus negotii.

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Netflix paucis abhinc annis in
MMIX offertur a $ I million

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praemium, si posses eorum emendaverunt
commendationem system iusto X%.

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X% qui tamen repraesentat
substantialis amount of negotium.

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Aestimationes sunt difficilia
veniant, sed multos populos

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Credo quod haec commendatio
systemata pro an online acquisitionem

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ratio quasi Amazon inducent alicubi
Inter X% XXV% augeri et commodo.

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Sic vos can imaginari
genus volumen es

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loquitur quando cogitamus de
etiam his pusillis algorithms.

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>> Sic exempla sumamus.

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Quam ob rem haec
systems vere opus?

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Sunt duo basic
genera algorithms quod

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qui loquuntur cum ludentibus
generantis commendatione.

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Primi vocantur
content fundatur filtering.

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Et contentus fundatur filtering innititur
super similitudine inter items

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se, quod inter duas movies
supervixerit vel duobus supervixerit vel duobus carminibus emit items.

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Nos erant 'iens uti movies
ut pro exemplo, sed

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possit realiter alicui type
autem quaeritis obiiciunt.

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>> Si igitur cogitare de aliqua
movies ab ultimo anno,

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Vidi cum Inside Out
mea haedos et dilexit illud.

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Sed et voluissent.

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Possemus ivisse Minions videre,
possemus videri Age of Ultron,

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aut possemus vidistis
Ant Man obsequium in theatris agebantur.

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>> Nam quicquid aliud dare voluerint
movies, si imaginemur

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generando list aut habitum oris lineamentaque intueri
de illis aliter movies qualitates.

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Sicut pro exemplo considerare potui
movies quod eorum esse animata.

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Bene, utrumque Inside Out
et Minions animantur.

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Nec Age of Ultron neque
Ant hominis sunt animata movies.

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Et possem imaginari aedificii
in structura, quae tabula

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libros singulis harum proprietatum.

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Sunt animata, an non?

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Potui deinde addat
features ad hanc monstrabunt mensam

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addendo more ordines in tali structura.

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Possem querere an
non haerent mirari movies.

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Bene, Inside Out et Minions
non mireris movies,

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Aetate et Ultron Ant homo certe.

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>> Et percunctari posset quaelibet
diversarum qualitatum

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quod volui, habitum oris lineamentaque intueri quaelibet
quod esset ad me.

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Habent eximius furcifer?

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Sed in nulla eximius villain Intus
Egressi sunt illi qui in vero Minions

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et in quippe
duo superhero movies.

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>> Ego quaero huiusmodi bene
do tramittunt Bechdel test?

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Sunt duo nomina
femina ingenia qui

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erogare inde aliquid significant amount of
tempus habens colloquium quod

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non inducit homines missus est?

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Sed hic de intus exit
cognoscam experimentum vestrum Minions deficit, Age of Ultron

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probatus, et non homo Ant.

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Quidquid horum discusserimus features
Potui cogitare

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quod quidam amet.

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>> Poteram et ego similia sunt petieritis
In movies quod aliqui

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Sunt qui de alumni nimirum et Parks
Otium, unum maxime probat.

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Bene, Inside Out habet Amy
Poehler quod suus Alumni.

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Qui numerat.

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Jon Hamm erat in Minions.

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Paulus Rudd erat in Ant hominis, sed nemo
in Age of Ultron erat in Parks et mures

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etiam.

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Et hoc album ædificet
features et non potuerunt erantque realiter

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esse aliquid circa ipsum.

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Non potuerunt esse quod
rationem sunt ratio glande,

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possit quot cathedras
vendidit in foramen weekend.

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Quidquid quod volo
generare potest poni in hanc monstrabunt mensam.

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>> In hoc ipso aedificavi
omnem Bullionaeo valores,

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necne transeam vel deficere,
sed non potuerunt esse aliquid.

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Non poterant esse arbitraria valores.

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Nam contentus fundatur filtering,
Quid erant 'iens ut facere

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is erant 'iens considerare venistis
columnas binas conlocantes hanc monstrabunt mensam

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quomodo similia sunt.

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Ut pro exemplo, si
exierunt autem videre Inside Out,

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Ego quaero, quid aliae movies
ut vultis ire videas.

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Hoc est, quod volunt
expendere pecuniam meam ad videndum.

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Et hoc possumus sumentis
columnas duas ex se intra

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et unus ex aliqua
aliis movies, et justum videns

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quot vultus par.

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Si ergo similes dicam Inside Out
cum Minions, bene illic '

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Tria hic inserere.

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Sunt ambo, neutrum
Nolite mirari movies sunt, et ex utraque parte

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Parks sunt mures et alumni.

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Sic etenim enumerare sufficiat quomodo
multorum matches falsorum numerositate muniendam,

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et sic tres digereret.

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>> Si ergo comparentur Inside Out
cum lets 'narro Age of Ultron,

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Possum despiciunt album
et dices ad bene illic

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Unum est quod non congruit.

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Videruntque ambo Bechtel test transire, ita
quod suus 'iens ut uno nomine.

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Et inter Inside Out
et Ant hominis, iterum

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linea recta conferas quot
quae inter se paria.

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Bene, suus 'unus animata, suus non unum.

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Mirari se a movie unum non est.

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Quod got a superessentialem sceleratur,
alterum non.

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Unum transit Bechtel
test, quod unum reliquum,

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sed utrique Parks et mures alumni,
ita quoque fit a viginti unius.

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>> Si igitur quaerebant movies
Et simile est intra,

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Pro quibus possem movies
summa score in this content

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filtering ratio.

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Sic in hoc casu, I
dato cogitaturum Minions

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propius et plus
uerisimile esse aliquid

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ut videre sumptum
quam Age of Man Ultron vel Ant.

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>> His contentus fundatur
filtering ratio inniti iustus

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a proprietatibus
movies, et sic

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potest aedificare haec iusta cognoscendo
aliquid de products

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quoniam tristitia est mihi.

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EGO can utor quaelibet
features quod ego youd 'amo,

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et possum vitandos aedificent
ut complexu features

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involvat magis intricatae test
qualis est meo.

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Quin etiam hanc mensam
non quod sit obiectum static,

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sed potius quod sit dimensiones
intra spatium maius statum.

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Et can satus loquitur de
intervallis diversis movies.

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Haec sunt omnia
quod scimus quomodo

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facere usura genera notitia structurae
ut iam videatur CS50.

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Sic possem imaginari aedificii
a notitia structura elit.

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Est quod Ive struct
construi movie dicitur,

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et habet Boolean quinque entries in ea.

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Est animatum, est a mirari
movie habet eximius nequissimus

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facit transire Bechdel experiundae causa, et
Parks sunt alumni et Rec sanctissimam iudicarint?

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Et utrumque horum est
notitia structura ut

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illa particularis optinere possit elit.

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>> Computet utrum duo
movies sunt similes vel non,

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quid score potui
perscribere a paro of pseudocode quod

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quod generat eumdem actum habent.

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Hoc est, datur aliquod movie M1 possum
invenire simillima movie ei

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sequendo pseudocode.

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Existimo enim quod est optimum
scoring ratio inveni,

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Inveni optimum comparatio.

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Pro omni alio movie
Ego transiverit,

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Ponam viginti parem = 0.

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Et quidem ego ibo per quod
movie, an M1 elit

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Coepi cum frangam
omnibus et singulis pluma

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quod habent ad videndum
et si ingruerit contra parem.

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Si par est, ibo
increment par ustulo.

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Ac si par in finem quod quaedam
Ego pronuntio quod melior current optimum

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score, si faxis
memento quod optimum score,

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quod optimis par mea.

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At finis, qualiscumque movie
sedet in optimis par,

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quod suus 'artissimum
Ego venire potuisset.

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Ita et hi content fundatur
filtering ratio,

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omnes habent fundamentum.

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Sed confidunt super item
et nihil in quaestione

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quacumque libido utentis.

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>> Alterum quod machinae utimur
ordinem aedificare commendationem systems

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dicitur collaborative filtering.

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Collaborative filtering innititur
qualitates non re ipsa,

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sed quomodo populum alterum
users quomodo scilicet habent

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ad haec eadem obiecta.

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Sic continuare cum movie exemplum,
E meis amicis antistans mihi illam assumerem fasciculum

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et lustra eis quantum iactus necne
non vellent particulari movies.

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Nunc diversis locis quemvis generet;
in hoc data diversisque itineribus iretur.

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Te potest directe lustrare your
users, vel vos could iustus

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vides tu quid isti si sumo
tu enim Netflix.

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Ipsi enim pervigilant movies quod fecit?

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>> I ut interrogarent de meo
et perscrutabantur amicos hic

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Iason probaverunt omnis movie
vidit, non mirum est.

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Andy solum amabat Minions et matertera Man.

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Sarah probaverunt et Inside Out
Vindices contraria Flaccus.

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Sam et bene Sam probaverunt
omnes movies superhero,

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nemo animati ipsum.

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>> Potui nova aliqua query
individuum, alio user similis mei

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et quaero, si Amabam
unum ex istis movies,

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num potes praedictionem de
Ut ut quam pelliculis aliis.

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Quod si intra Amabam
, Quae aliis movies

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ego amo etiam volo video vidi visum
ex quibus illi similes?

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Quod per ibo
Ego spurcamen per hoc list

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et invenietis iustus
individua qui etiam probaverunt

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Inside Out defluxit, qui ut mihi preferences.

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Bene quod et Flaccus
Sam non intus quaeso,

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00:10:00,824 --> 00:10:02,240
Im 'non iens ut existimem.

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Im 'iens impetro rid of eorum
data enim haec comparatio.

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00:10:06,130 --> 00:10:09,750
>> Intueamur ergo possum laso
Quæ risit occulte cogitatio et talliam

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Quem cum vidissent eum movies
inquam, utrum vellent eis

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aut non.

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Quemadmodum potui numerare, lets dicunt suffragia.

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00:10:17,820 --> 00:10:23,360
Ita Minions, puta haberent
eligendam, quia Jason illius.

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Et Iason et Sarah probaverunt Vindices,
sic habeat duas voces.

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Et tantum Jason probaverunt Ant hominis,
sic unum suffragium ineunt.

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Ita ut si certo cognovero conpletam igitur suadeo
mihi horum movies

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00:10:34,870 --> 00:10:41,470
Essem maxime vigilare utinam
eligere Age of Ultron: Vindices.

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00:10:41,470 --> 00:10:44,490
>> Ita quicquid aliud dare voluerint
systemata, nunc Im 'usura

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00:10:44,490 --> 00:10:49,260
Non de data generaverit
ipsum elit, sed de mauris

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ab aliis users.

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Hoc sane difficultates.

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00:10:54,150 --> 00:10:55,920
Quid si non alius users?

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Bene, quod suus 'vocatur satus problem.

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Vos habere aliquid
quantitas data coram te

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00:11:03,760 --> 00:11:07,560
poterit committitur faciens
his recommendations.

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00:11:07,560 --> 00:11:10,940
Flip latus est semel
vos satus colligendis notitia,

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00:11:10,940 --> 00:11:13,870
si ergo vales colligere more
et magis ac magis notitia,

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00:11:13,870 --> 00:11:17,850
youll 'adepto melius et melius
et melius commendatione.

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>> Nunc autem soluti sumus could translate
in hoc codice tam.

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00:11:21,650 --> 00:11:23,860
Possumus definimus different
genus operis,

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hic feres a user.

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00:11:25,720 --> 00:11:30,970
Et suus 'got features de
quod movies hoc user probaverunt.

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00:11:30,970 --> 00:11:34,560
Nonne similis Inside Out,
Satellites illam unam patere, Vindices, et Ant Man.

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00:11:34,560 --> 00:11:36,660
Possemus ergo generare
quidam pseudocode sequi

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00:11:36,660 --> 00:11:39,460
gravia dividentia idem corpus quod prius.

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Hoc est, data a particulari
user x, lets 'suadeo a movie

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x ut quod amo.

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00:11:46,107 --> 00:11:47,940
Ire possumus, et per
omnes movies,

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00:11:47,940 --> 00:11:51,410
possumus initialize a score
quia movie esse 0.

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00:11:51,410 --> 00:11:54,080
Et tunc forte invenire possimus omnes
alterius qui users

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00:11:54,080 --> 00:11:57,630
x eodem mauris.

216
00:11:57,630 --> 00:11:59,990
Deinde pro omnibus
movie quod vellent,

217
00:11:59,990 --> 00:12:02,340
quod nos uestros incremento elit.

218
00:12:02,340 --> 00:12:05,010
Gemma gratissima, expectatio movie in
finis habet summa score,

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00:12:05,010 --> 00:12:07,600
quod unam commendem.

220
00:12:07,600 --> 00:12:09,890
>> Neque obscurum est.

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00:12:09,890 --> 00:12:11,600
Nemo ex hoc est arduum.

222
00:12:11,600 --> 00:12:15,810
Hi sunt basic omnium algorithms
quia tu hodie efficere potuit.

223
00:12:15,810 --> 00:12:20,050
>> Sed cum verus recommender systemata,
vos incurrerunt in aliquod problems.

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00:12:20,050 --> 00:12:23,300
Fusce suscipit Quid si nullus qui
aequet exigo vestri preferences?

225
00:12:23,300 --> 00:12:27,170
Quid si ibi inventi fuerint users qui
sunt prorsus tua preferences,

226
00:12:27,170 --> 00:12:30,480
sed tunc deviare PRORSUS
ex his quae tibi placent?

227
00:12:30,480 --> 00:12:36,210
EGO amo classic Godzilla
movies, sed non meam.

228
00:12:36,210 --> 00:12:39,430
Ut custodiant mi
Netflix rationem continet.

229
00:12:39,430 --> 00:12:41,800
Sui non facit.

230
00:12:41,800 --> 00:12:45,230
Quid accidit si nos satus
mixtionem data huic simile?

231
00:12:45,230 --> 00:12:47,690
Hae sunt omnes provocationes
quod potes vincere,

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00:12:47,690 --> 00:12:51,900
they iustus leviter
magis intricatae algorithms.

233
00:12:51,900 --> 00:12:56,420
>> In rerum natura, quae
sunt actu perficiendis,

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00:12:56,420 --> 00:12:59,980
nos uti contentus fundatur vel filtering
do utimur collaborative filtering?

235
00:12:59,980 --> 00:13:01,910
Et respondendum est uterque utimur.

236
00:13:01,910 --> 00:13:06,350
Fere omnes in maiorem users
Hic Amazon Facebook, Netflix,

237
00:13:06,350 --> 00:13:11,200
Pandora omnes uti coniunctis
haec diversa ratio commendationem.

238
00:13:11,200 --> 00:13:16,520
Cumque miscere electiones
singulis beatificamus eos hybrid ratio.

239
00:13:16,520 --> 00:13:20,750
Aliquo modo pendet
features ipsius obiecti,

240
00:13:20,750 --> 00:13:24,710
et aliquo modo pendent
preferences de aliis users.

241
00:13:24,710 --> 00:13:28,120
Hybrid haec ratio,
haerent magnum negotium,

242
00:13:28,120 --> 00:13:30,830
et haerent quid current hodie.

243
00:13:30,830 --> 00:13:32,839
>> Sic gratias diversi generis multa nimis committendi me.

244
00:13:32,839 --> 00:13:35,380
Spero te Etilla
bit intelligentiam quid

245
00:13:35,380 --> 00:13:37,430
haec ratio facit opus.

246
00:13:37,430 --> 00:13:41,980
Deinde tempore online tu memento
non solum afficiunt tuae,

247
00:13:41,980 --> 00:13:44,680
sed est in potentia ad omnes pariter.

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00:13:44,680 --> 00:13:46,480
Iterum gratias.

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00:13:46,480 --> 00:13:47,186