1958術(shù)大1958119581.推薦及LLM簡介2.LLM賦能推薦系統(tǒng)3.大模型推薦展望3)2000“大語言模型…”規(guī)劃能力about“大語言模型…”規(guī)劃能力abouttheLLM…”4泛化能力泛化能力“新華社電…”得世界杯冠軍的歷程”學會了！學會了！《戰(zhàn)狼》講述的勾股定理是直角《戰(zhàn)狼》講述的勾股定理是直角三角形兩個直角邊的平方和等于斜邊的平方愛新覺羅.玄燁?Item：在物理世界中存在千絲萬縷的關(guān)聯(lián)，很多關(guān)聯(lián)都很低頻未知任務：個性化推薦，冷啟動推薦…傳統(tǒng)范式大模型范式未知任務：個性化推薦，冷啟動推薦…未知任務：個性化推薦，冷啟動推薦…傳統(tǒng)范式大模型范式未知任務：個性化推薦，冷啟動推薦… 序列推薦：籃球à?球à梅西à內(nèi)馬爾 對話推薦：今天沒有籃球比賽可以看，對話推薦：今天沒有籃球比賽可以看，推薦魯棒性、用戶歷史?為推薦序列推薦：籃球序列推薦：籃球à?球à梅西à內(nèi)馬爾 對話推薦：今天沒有籃球比賽可以看，對話推薦：今天沒有籃球比賽可以看，推薦魯棒性、用戶歷史?為推薦[7]Gao,etal.“Chat-REC:LLMs-Augmented[8]Liu,etal.“IsChatGPTagoodrecommender?ApreliminaryStudy”2023.[9]BaoKeqinetal.“LLM4Rec:LargeLangua[11]LiJinmingetal.“GPT4Rec:AGenerativeFrameworkforPersonalizedRecommendationandUserInterestsInterpretation”arXiv2023.[12]HouYupengetal.88919581.推薦及LLM簡介2.LLM賦能推薦系統(tǒng)3.大模型推薦展望UsenaturelanguageRecommendation“KDD2023.Recommendation“KDD2023.Recommendation“KDD2023.Recommendation“KDD2023.Recommendation“KDD2023.LiuPengfei,etal."Pre-train,Prompt,andPredict:ASystematicSurveyofPromptingMethodsinNaturalLanguageProcessing"arXiv2021.ZhangYuhui,etal."LanguageModelsasRecommenderSystems:EvaluationsandLimitations“NeurIPSWorkshop2021.16Systems“arXiv2022.Systems“arXiv2022.Systems“arXiv2022.Systems“arXiv2022. Gao,etal.Chat-REC:LLMs-AugmentedRecommenderSystem.2023.22In-contextlearning+recomModels“arXiv2023.KeqinBaoetal.“LLM4Rec:LargeLanguageModelsforRecommendationviaALightweightTuningFramework”24Recsys2023KeqinBaoetal.“LLM4Rec:LargeLanguageModelsforRecommendationviaALightweightTuningFramework”25Recsys2023○○ ◆ Dragon(Wuhuzanglong)..widerangeofentitiesthatfulfillthSystems“arXiv2023.○○ ◆ Dragon(Wuhuzanglong)..Systems“arXiv2023.Systems“arXiv2023.-BaselinesexhibitsignificantlyworseperformancethanB-ImprovementofBIGReci?possiblyduetothevaryingproperSystems“arXiv2023.Systems“arXiv2023.?IncorporatingpopularityinformaBIGRecachmetrics,particularlyforlargervaluesof“differentconventionalmodel.Systems“arXiv2023.19581.推薦及LLM簡介2.LLM賦能推薦系統(tǒng)3.大模型推薦展望候選物品排序角色扮演思維鏈Action?調(diào)用Action?調(diào)用LLMAPI?更新獎勵函數(shù)reward?大模型黑盒特性，參數(shù)不可訪問yTrainingSamples[Prompt]Lightweightlaptopwithnewamazingfeatures,batterylifeisawesome.Accuracy=78%feedbackStep1yTrainingSamples[Prompt]Lightweightlaptopwithnewamazingfeatures,batterylifeisawesome.Accuracy=78%feedbackStep1ProvidefeedbackonvariousproductsStepnProvideasentimentyAccuracy=85%yTestsamplesw/thesamedistribution(sourcegroup)Testsamplesw/adifferentdistribution(targetgroup)PromptOptimizationDeploymentDeploymentoptimizedpromptoptimizedpromptMoxinLietal.,SubmittedtoEMNLP,AnonymousTitle.2023新推薦范式（GenerativeRecommendation）應用場景：o2.AI作畫o3.AI改畫o4.AI換裝WenjieWangetal.arxiv,GenerativeRecommendation:TowardsNext-generationRecommenderParadigm.2023薦會繼承現(xiàn)有的社會偏見！JizhiZhangetal.Recsys,CanChatGPTMakeFairRecommendation?AFairnessEvaluationBenchmarkforRecommendationwithLargeLanguageModel.2023?Item：在物理世界中存在千絲萬縷的關(guān)聯(lián)，很多關(guān)聯(lián)