Hands-On Recommendation Systems with Python
Recommendationsystemsareattheheartofalmosteveryinternetbusinesstoday;fromFacebooktoNet?ixtoAmazon.Providinggoodrecommendations,whetherit'sfriends,movies,orgroceries,goesalongwayindefininguserexperienceandenticingyourcustomerstouseyourplatform.Thisbookshowsyouhowtodojustthat.YouwilllearnaboutthedifferentkindsofrecommendersusedintheindustryandseehowtobuildthemfromscratchusingPython.Noneedtowadethroughtonsofmachinelearningtheory—you'llgetstartedwithbuildingandlearningaboutrecommendersasquicklyaspossible..Inthisbook,youwillbuildanIMDBTop250clone,acontent-basedenginethatworksonmoviemetadata.You'llusecollaborativefilterstomakeuseofcustomerbehaviordata,andaHybridRecommenderthatincorporatescontentbasedandcollaborativefilteringtechniquesWiththisbook,allyouneedtogetstartedwithbuildingrecommendationsystemsisafamiliaritywithPython,andbythetimeyou'refnished,youwillhaveagreatgraspofhowrecommendersworkandbeinastrongpositiontoapplythetechniquesthatyouwilllearntoyourownproblemdomains.
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