[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-why-pinterest-new-ad-relevance-model-wins-zh":3,"tags-why-pinterest-new-ad-relevance-model-wins-zh":37,"related-lang-why-pinterest-new-ad-relevance-model-wins-zh":44,"related-posts-why-pinterest-new-ad-relevance-model-wins-zh":48,"series-industry-4973011a-8c3a-4a40-a893-cfb1e18ae856":85},{"id":4,"title":5,"content":6,"summary":7,"source":8,"source_url":9,"author":10,"image_url":11,"keywords":12,"language":18,"translated_content":10,"views":19,"is_premium":20,"created_at":21,"updated_at":21,"cover_image":11,"published_at":22,"rewrite_status":23,"rewrite_error":10,"rewritten_from_id":24,"slug":25,"category":26,"related_article_id":27,"status":28,"google_indexed_at":29,"x_posted_at":10,"tweet_text":10,"title_rewritten_at":10,"title_original":10,"key_takeaways":30,"topic_cluster_id":34,"embedding":35,"is_canonical_seed":36},"4973011a-8c3a-4a40-a893-cfb1e18ae856","為什麼 Pinterest 的新廣告相關性模型對廣告主是好事","\u003Cp data-speakable=\"summary\">Pint\u003Ca href=\"\u002Fnews\u002Fwhy-databricks-model-serving-is-right-default-zh\">er\u003C\u002Fa>e\u003Ca href=\"\u002Fnews\u002Fwhy-rust-is-the-ai-language-of-the-future-zh\">st\u003C\u002Fa> 把即時搜尋意圖和過往轉換資料結合起來，讓廣告更相關，對廣告主是好事。\u003C\u002Fp>\u003Cp>Pinterest 這次不是小修小補，而是把廣告相關性的判準改對了。平台把站外轉換歷史與站內搜尋行為一起納入後，官方表示中位數候選廣告相關性提升約 275% 到 300%，每次曝光可送出的廣告候選數也翻倍。這代表系統不再把使用者意圖當成單一時間點的快照，而是把「最近做了\u003Ca href=\"\u002Fnews\u002Fwhy-zyphra-cloud-on-amd-matters-more-than-another-model-laun-zh\">什麼\u003C\u002Fa>」和「現在正在找什麼」一起看。\u003C\u002Fp>\u003Ch2>第一個論點：相關性會在訊號更即時時明顯上升\u003C\u002Fh2>\u003Cp>廣告定向最常見的問題不是資料太少，而是資料太舊。有人上個月買了跑鞋，不代表今天不會再找襪子、鞋墊或訓練計畫；只看單次轉換事件的模型，會把這種延伸需求全部漏掉。Pinterest 把過往站外轉換和當下搜尋行為合併，等於讓系統能分辨「曾經有需求」與「現在正有需求」的差別。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778693452335-g27i.png\" alt=\"為什麼 Pinterest 的新廣告相關性模型對廣告主是好事\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>官方公布的 275% 到 300% 中位數候選相關性提升，重點不在漂亮，而在它發生在拍賣前的候選階段。這意味著廣告主不是只在競價後得到更高點擊率，而是在更早的篩選過程就拿到更好的配對。對投放來說，這會直接影響浪費曝光的比例、點擊品質，以及預算被迫靠加碼硬撐的程度。\u003C\u002Fp>\u003Ch2>第二個論點：更好的廣告系統，也是在改善使用者體驗\u003C\u002Fh2>\u003Cp>多數人討厭廣告，不是因為有廣告，而是因為廣告不對題。Pinterest 這種混合模型的優勢，在於它讓 Promoted Pins 跟著使用者當下的內容脈絡走，而不是被幾週前的轉換紀錄綁死。若有人正在找育兒靈感、居家收納或冬季食譜，系統就該回應這個當下，而不是一直重播早已過期的再行銷訊號。\u003C\u002Fp>\u003Cp>平台也表示，新流程讓每次曝光可送出的廣告候選數翻倍。這很重要，因為候選集越大，排序模型越有機會挑到真正有用的廣告。實務上，更多候選代表不必過度依賴單一脆弱訊號，素材、品類與意圖之間也更容易配對。對使用者來說，這通常意味著更少打擾；對廣告主來說，平台替你做了更多匹配工作，而不是把最佳化壓回 campaign manager 身上。\u003C\u002Fp>\u003Ch2>反方可能怎麼說\u003C\u002Fh2>\u003Cp>最強的反對意見是，混合定向會變得太侵入。當平台把站外轉換歷史和站內行為結合，它就很像披著漂亮介面的監控。隱私倡議者會說，這類模型加深了平台與使用者之間的資訊不對稱，尤其當多數人並不清楚自己在網路上的活動如何被餵進封閉式廣告系統時。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778693459275-hdd8.png\" alt=\"為什麼 Pinterest 的新廣告相關性模型對廣告主是好事\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>另一個合理擔憂是，相關性越高，依賴也越高。若 Pinterest 真的很會預測意圖，廣告主可能會過度依賴平台訊號，反而忽略品牌建設、創意差異化與上層漏斗需求。從這個角度看，系統不只是幫助行銷人，而是在把他們推向一個更窄的績效定義。\u003C\u002Fp>\u003Cp>但這個批評不足以推翻模型。真正的標準不是廣告系統有沒有用資料，而是它有沒有用最少必要資料，換到明顯更好的結果。Pinterest 公布的提升顯示這套方法確實在做事，而更高相關性本身不等於濫用。限制當然存在：平台必須把同意、\u003Ca href=\"\u002Ftag\u002F資料治理\">資料治理\u003C\u002Fa>與使用者控制做清楚；但若一口氣否定混合相關性，只會保留更差的使用者體驗，以及更弱的廣告回報。\u003C\u002Fp>\u003Ch2>你能做什麼\u003C\u002Fh2>\u003Cp>如果你是工程師、PM 或創辦人，這個案例的重點很直接：別再只押單一訊號，改成設計能同時利用歷史轉換與即時意圖的系統。評估時看候選品質，不只看點擊。把隱私邊界寫清楚。並把相關性當成產品功能來做，因為在像 Pinterest 這樣的平台上，相關性本身就是廣告是否有用、甚至是否惹人厭的關鍵。\u003C\u002Fp>","Pinterest 把即時意圖和過往轉換資料一起用，做出更相關的廣告投放，這對廣告主是正確方向。","www.optimixed.com","https:\u002F\u002Fwww.optimixed.com\u002Fpinterest-updates-ad-relevance\u002F",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1778693452335-g27i.png",[13,14,15,16,17],"Pinterest","廣告相關性","混合定向","即時意圖","轉換資料","zh",1,false,"2026-05-13T17:30:25.375017+00:00","2026-05-13T17:30:25.245+00:00","done","72cd262f-35cb-4a20-b1aa-82d3bce70702","why-pinterest-new-ad-relevance-model-wins-zh","industry","e1e005f9-fa4c-4a74-b168-165afd1c4f2d","published","2026-05-14T09:00:17.532+00:00",[31,32,33],"把即時搜尋意圖和過往轉換一起用，廣告相關性會明顯提升。","更好的候選集不只幫廣告主，也能降低使用者對廣告的反感。","隱私與資料治理要透明，但不該因此否定混合模型本身。","9f921ed5-b7a5-43ef-b1fe-1760b4ceafa8","[-0.021427989,0.0066031246,0.0018743157,-0.096108444,-0.02148511,-0.015667722,-0.0058048186,0.044382982,-0.004851149,-0.024679419,0.02225594,-0.008254086,-0.009798005,-0.02760379,0.102482274,0.033966165,0.010001372,-0.003766837,0.0053184386,0.013323157,0.0020095203,0.034139078,0.013297357,-0.0050095003,0.009704191,0.0018799593,0.025420379,-0.020331712,-7.849187e-06,0.008275438,0.0005536542,0.020678477,0.03422541,0.03905026,0.03379728,0.020493884,0.0020678376,0.0019760635,0.026457144,-0.00689099,0.0046885153,0.035011977,0.01645248,-0.015067961,-0.013552171,0.0009795106,0.018736638,-0.0023007689,-0.0026570186,0.0017261229,-0.0072333957,0.005216456,-0.0072958805,-0.15607423,0.010826054,-0.0025378754,-0.01215138,-0.0012319285,-0.01852261,0.0020923275,-0.009703016,0.011531689,0.0030359314,-0.023071349,-0.005716734,-0.018031957,0.017304042,0.0022578435,-0.0038979815,0.031305093,0.0051963357,0.0117280455,-0.0026009846,-0.024227072,-0.0035331212,-0.027995009,0.022202611,-0.004758151,0.022505518,-0.026890287,0.021048928,0.0051951744,-0.04001298,0.009998094,0.010323714,0.01361795,-0.008911655,-0.019678045,0.033693276,0.030642966,0.007315486,0.004342774,-0.0029261769,0.01737915,0.030807484,-0.010952498,-0.03706586,-0.016600993,0.010241022,-0.031907212,0.011756631,-0.02193515,0.003133771,-0.032720808,-0.017812833,0.0034170654,-0.005171084,-0.03223571,-0.024197841,0.022830911,0.0039684256,-0.002335785,-0.018154798,-0.0022821373,-2.0974114e-05,-0.14661948,0.00422576,-0.015470283,-0.013379602,0.018807441,-0.033887856,0.002334265,0.008561474,0.027269876,-0.0043335566,0.007655401,-0.0012805763,-0.0032016784,-0.00998163,-0.0007535563,-0.028354852,0.005328812,-0.004455034,0.0148737775,-0.0125899725,-0.00386443,-0.004271334,-0.049087036,-0.007706493,-0.020743934,-0.0067492197,0.015910542,-0.0044318195,-0.01069625,-0.030389456,-0.0116151925,-0.012097215,0.0316188,0.006104506,-0.015592251,0.012725044,0.0043787314,-0.008330347,0.009204688,0.004445206,-0.028293489,-0.012480686,0.010460145,0.008153514,0.018423567,0.041454077,0.011485459,-0.008349615,-0.0072937272,-0.0040278826,0.016258536,-0.020340914,-0.021293057,0.020705776,0.008061925,-0.014829992,-0.0010720344,-0.0063998788,0.014132334,0.019735498,0.0010343437,0.00014885027,0.018181479,0.00957092,0.0042462284,0.022108141,-0.023765935,0.010781205,-0.0065435446,0.013540623,-0.012143085,0.019300357,-0.014391221,0.0152155245,0.031461477,-0.023262946,1.3800592e-05,0.019767337,-0.016073337,-0.0035785944,0.0045841415,0.027911808,-0.008599853,0.041167326,0.000110980436,0.008410642,-0.007407635,-0.002465148,-0.014288372,0.0016566775,-0.035801634,-0.026902532,0.010633712,-0.008079588,0.005510455,-0.0052933483,-0.003480309,-0.048946213,-0.017730154,0.012049891,-0.007293964,0.011958765,-0.029617552,0.00485175,-0.026997687,0.02162095,-0.002921583,-0.026092328,0.022426672,0.0144453645,0.0110644465,-0.032000855,-0.01688944,-0.025827672,0.012995792,-0.004424651,0.0044670478,0.038462892,-0.011134022,0.0053443564,0.010702821,-0.0036435665,0.0058300565,0.019086717,0.022779088,-0.035518784,-0.020351255,-0.01646941,-0.014398817,0.014628748,-0.0026578875,0.002753221,-0.0068693548,0.01374751,0.0002472388,-0.023174556,-0.012735608,-0.0052489797,0.0016082774,-0.002034053,-0.033689305,-0.01739871,-0.00212537,0.010335038,-0.014005797,-0.0069901743,0.0029029697,-0.018427653,0.0030601048,0.013718217,-0.012369258,0.002778746,-0.032424826,-0.02838105,-0.009292122,0.023021381,0.007966623,0.012065708,0.0005734662,0.005538613,-0.01984907,-0.030146142,0.027233824,0.02124082,-0.014152373,-0.007976559,0.010147431,0.0002647192,0.013867066,0.010961254,0.008554707,-0.018981295,-0.008748419,-0.0042314255,-0.011547116,-0.01062057,0.028901566,-0.03282763,0.018405192,0.02375142,-0.020070355,-0.011341932,0.021720622,0.025417067,0.00059379457,-0.016034817,0.019978685,-0.0031668677,0.033931542,0.013192178,-0.017239591,0.0060422346,0.028264267,-0.011917884,-0.019563062,0.006645649,0.007551756,-0.004946697,0.0033248663,0.009707421,-0.0030293395,-0.021629144,-0.011806878,-0.024253545,0.006213563,0.0052958555,-0.025926823,-0.012732113,0.017563473,-0.009705093,0.014612524,-0.005786636,0.002676884,-0.017130286,-0.014768158,0.0072922986,0.0053877383,0.004107424,-0.027249234,-0.012469324,-0.0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