論文Deep Character-Level Click-Through Rate Prediction for Sponsored Search
CTR（點擊通過率）：就是指一些公司通過付費競價的方式支付給搜索引擎，當用戶進行感興趣的查詢後，搜索結果頁會展示出一系列與查詢相關的廣告（廣告可以根據競價來決定其顯示在查詢結果頁中的位置：靠前還是靠後），如果用戶點擊了查詢結果頁中的某一廣告，該廣告的點擊通過次數就+1.所以點擊通過率=廣告被點擊的次數/廣告展示的次數。 CTR可以作爲一個判別標準。當某一條廣告CTR超過了預計的CTR，它就出現在搜
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相關文章
- 1. 《Learning Deep Structured Semantic Models for Web Search using Clickthrough Data 》論文總結
- 2. 論文Disguise Adversarial Networks for Click-through Rate Prediction
- 3. 論文總結 (二)：GIN用於CTR預測:Graph Intention Network for Click-through Rate Prediction in Sponsored Search
- 4. #Paper Reading# Deep Interest Network for Click-Through Rate Prediction
- 5. Deep Interest Network for Click-Through Rate Prediction
- 6. 【論文翻譯】ENHANCED CTU-LEVEL INTER PREDICTION WITH DEEP FRAME RATE UP-CONVERSION FOR HIGH EFFICIENCY VID
- 7. What’s a Good Clickthrough Rate? New Benchmark Data for Google AdWords
- 8. 【讀書筆記】Deep Interest Evolution Network for Click-Through Rate Prediction
- 9. 論文解析：NASE: Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture Search
- 10. 【position bias 2】Online Learning from Click Data for Sponsored Search