What personal data we collect and why we collect it
Comments
When visitors leave comments on the site we collect the data shown in the comments form, and also the visitor’s IP address and browser user agent string to help spam detection.
An anonymized string created from your email address (also called a hash) may be provided to the Gravatar service to see if you are using it. The Gravatar service privacy policy is available here: https://automattic.com/privacy/. After approval of your comment, your profile picture is visible to the public in the context of your comment.
Media
If you upload images to the website, you should avoid uploading images with embedded location data (EXIF GPS) included. Visitors to the website can download and extract any location data from images on the website.
Contact forms
Cookies
If you leave a comment on our site you may opt-in to saving your name, email address and website in cookies. These are for your convenience so that you do not have to fill in your details again when you leave another comment. These cookies will last for one year.
If you visit our login page, we will set a temporary cookie to determine if your browser accepts cookies. This cookie contains no personal data and is discarded when you close your browser.
When you log in, we will also set up several cookies to save your login information and your screen display choices. Login cookies last for two days, and screen options cookies last for a year. If you select “Remember Me”, your login will persist for two weeks. If you log out of your account, the login cookies will be removed.
If you edit or publish an article, an additional cookie will be saved in your browser. This cookie includes no personal data and simply indicates the post ID of the article you just edited. It expires after 1 day.
Embedded content from other websites
Articles on this site may include embedded content (e.g. videos, images, articles, etc.). Embedded content from other websites behaves in the exact same way as if the visitor has visited the other website.
These websites may collect data about you, use cookies, embed additional third-party tracking, and monitor your interaction with that embedded content, including tracking your interaction with the embedded content if you have an account and are logged in to that website.
Analytics
Who we share your data with
How long we retain your data
If you leave a comment, the comment and its metadata are retained indefinitely. This is so we can recognize and approve any follow-up comments automatically instead of holding them in a moderation queue.
For users that register on our website (if any), we also store the personal information they provide in their user profile. All users can see, edit, or delete their personal information at any time (except they cannot change their username). Website administrators can also see and edit that information.
What rights you have over your data
If you have an account on this site, or have left comments, you can request to receive an exported file of the personal data we hold about you, including any data you have provided to us. You can also request that we erase any personal data we hold about you. This does not include any data we are obliged to keep for administrative, legal, or security purposes.
Where we send your data
Visitor comments may be checked through an automated spam detection service.
Your contact information
Additional information
How we protect your data
What data breach procedures we have in place
What third parties we receive data from
What automated decision making and/or profiling we do with user data
何銘華指出,momo選擇在雙11等高併發流量場景導入生成式 AI 搜尋,結合 Google Gemini 與低延遲技術,將搜尋從單純比對關鍵字,升級為可理解消費者需求的 AI 引擎。透過多模態 AI 自動產出風格標籤與情境資訊,平台可即時整合商品資訊與使用場景,讓購物流程從「規格搜尋」進一步轉向「情境化選物」。在高壓流量環境下完成驗證,也確保相關技術具備實際商用穩定性,而非停留於實驗階段。
momo指出,AI搜尋的關鍵不只在模型能力,更取決於商品資料本身的品質與結構。平台正推動商品資料治理工程,在原有規格參數之外,系統性補充應用場景、可解決的問題與使用效益等語意化內容,使商品資訊能被 AI 正確理解與索引。面對生成式 AI 搜尋時代(GEO),商品語意品質,將直接影響平台的曝光與推薦能力。momo同步深化第一方數據應用,並導入AI機制強化商品內容審核,從資料品質與平台治理兩端建立長期信任基礎。
針對下一階段發展,momo規劃在未來1至3年內推動「AI購物助理」應用,初期將以商品探索與資訊整理為切入點,協助消費者進行比較與決策;隨著使用者信任累積,再逐步擴大 AI 在購物流程中的參與程度。
何銘華表示,生成式 AI 的價值,不在於取代消費者的選擇,而是讓每一個決策都有更充分的資訊支持。搜尋正在被需求理解取代,這會是電商下一階段最大的結構變化。隨著 AI 從工具走向決策輔助,電商平台將從商品展示通路,進一步轉型為能理解需求,並提供解決方案的智慧服務平台。