摘要互联网的出现和普及给用户带来了大量的信息，满足了用户在信息时代对信息的需求，但随着网络的迅速发展，相对应的网上信息量出现了大幅增长，导致用户在面对大量信息时无法从中筛选与分辨信息的可用与否，最终导致其对信息的利用效率反而出现了下降情况。为了应对并解决这一问题，推荐系统应运而生。其能根据用户的信息需求、兴趣等，通过个性化计算将用户感兴趣的信息、产品等推荐给用户。游戏推荐系统正是其中之一。本文研究并实现了一种结合web技术与深度学习中相似度计算的游戏推荐系统设计方案：基于对排名模型的多方向分析与设计，本方案可以在保证系统界面的美观与简洁的同时实现推荐形式的多元化以及用户使用的简便化；同时可以实现游戏推荐，游戏评分，游戏搜索等多元可靠的系统功能；并且可以根据用户个体以及总体对所需信息的获取与反馈情况实时对推荐内容进行更新与修正。-I-DesignandImplementationofGameRecommenderSystemAbstractTheemergenceandpopularizationoftheInternethasbroughtalotofinformationtousersandmettheneedsofusersforinformationintheinformationage.However,withtherapiddevelopmentofthenetwork,thecorrespondingamountofinformationontheInternethasincreasedsignificantly,whichmakesusersunabletoscreenanddistinguishtheavailabilityofinformationinthefaceofalargeamountofinformation,andultimatelyleadstoadeclineintheutilizationefficiencyofinformationSituation.Inordertosolvethisproblem,recommendationsystemcameintobeing.Accordingtotheinformationneedsandinterestsofusers,itcanrecommendtheinformationandproductsthatusersareinterestedintousersthroughpersonalizedcalculation.Gamerecommendationsystemisoneofthem.Thispaperstudiesandimplementsagamerecommendersystemdesignschemecombiningwebtechnologyandsimilaritycalculationindeeplearning:Basedonthemulti-directionalanalysisanddesignofrankingmodel,thisschemecanensurethebeautyandsimplicityofthesysteminterface,realizethediversificationofrecommenderformsandthesimplificationofuseruse,andrealizegamerecommendation,gamescoringandgamesearchatthesametimeItcanupdateandmodifytherecommendedcontentinrealtimeaccordingtotheuser'sindividualandoverallinformationacquisitionandfeedback.-II-关键词：深度学习，网页设计，相似度算法，评分推荐，关联推荐KeyWords:deeplearning,webdesign,similarityalgorithm,scorerecommendation,relatedrecommendation目录摘要................................................................................................................................IAbstract........................................................................................................................III1引言.........................................................................................................................1插图或附表清单........................................................................................................VII2游戏推荐系统开发技术.............................................................................................22.1推荐技术...........................................................................................................22.1.1推荐问题的表述方式..............................................................................22.1.2推荐系统的设计目标..............................................................................22.1.3推荐系统的基本模型..............................................................................32.1.4相似度算法..............................................................................................42.2深度学习.....................
