AI Interactive Search 搜尋引擎 by Baidu Sousuo is a highly esteemed winner of the very prestigious 2024 A' Design Award 金獎 in 軟件設計 Competition Category.
金軟件· 2024
AI Interactive Search 搜尋引擎
by Baidu Sousuo
Client: Baidu Online Network Technology (Beijing) Co., Ltd.
A' Design Award 金獎 Winner in 軟件 Category
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- Verified Award Winner
- Verify Award Status for #158703
The Design
About AI Interactive Search 搜尋引擎
AI互動搜尋係一個透過對話回答問題嘅搜尋引擎。語義搜尋技術同大型語言模型互相結合,重新組織搜尋結果,重塑互動體驗。傳統搜尋框由多輪對話取代,令用戶可以逐步完善問題同完成任務。多模態輸入同輸出令搜尋引擎識得閱讀、觀看同聆聽,支援表達新需求。系統亦包含可信來源追蹤功能,建立信任,幫助用戶快速搵到滿意嘅答案。
The Recognition
About the A' Design Award 金獎
AI Interactive Search 搜尋引擎是 A' Design Award 金獎得主，這是授予一流、絕妙而傑出設計的極為崇高的認可。金獎得主是極具創新、極富遠見且璀璨奪目的創作，反映出其設計師的天才、智慧與才幹。預計AI Interactive Search 搜尋引擎將成為一項備受讚譽、引領潮流、氣勢恢宏的發明，帶來前所未有的價值。這件贏得 A' Design Award 金獎的設計是一個壯觀而受人敬重的項目，極大地造福並拓展藝術、科學、設計和技術的界限。AI Interactive Search 搜尋引擎激起強烈的渴望，喚起激情，鼓勵創造力，令我們著迷。
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- Unique Properties
- You ask, it answers. Utilizing semantic search technology and large language models, it reorganizes search results with dual capabilities to reconstruct the interactive experience. It helps us solve problems and accomplish tasks through conversation, replacing traditional search boxes with multi-turn dialogues.
A multi-modal input and output experience makes search as if it had senses, capable of reading, seeing, and listening, allowing the expression of new demands. - Dimensions & Packaging
- Multi-turn conversation-style new search, with endless demands for expansion.
Compared to the traditional single-turn retrieval model where users have to spend a long time collecting answers, in the A-era new search scenario, you can directly obtain satisfactory answers through continuous multi-turn conversations.
Multi-turn conversation-style search. - Production Technology
- Combining large model technology to efficiently organize and present result content and forms. Establishing trust with users through credible source tracking to help users quickly obtain satisfactory answers.
- Inspiration
- Combining large model technology to efficiently organize and present result content and forms. Establishing trust with users through credible source tracking to help users quickly obtain satisfactory answers.
- Team Members
- Shi Yujie, Liao Yi, Liu Xiaoyue, Guo Hexing, Jiang Shuqi, Wang Yaqun, Xu Ziru, Ma Kexin, Li Zhuoning, Shi Han
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