1、 視頻流媒體網站 HOOQ 主要股東訪問 XChain 新加坡本部
Video streaming website HOOQ major shareholder visit XChain Singapore headquarters
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本週總部位於新加坡的視頻流媒體網站 HOOQ 的幾位主要股東代表訪問了 XChain, 雙方就大數據在視頻流媒體的技術應用和發展前景展開探討
Several major shareholder representatives of HOOQ,a Singapore-based video streaming website, visited XChain this week,and the two sides discussed the technology application and development prospects of big data in video streaming
HOOQ 是一家按需視頻流媒體平臺 , 成立於 2015 年 , 由 Singtel(新加坡最大的電信公司), 索尼影視娛樂和華納兄弟共同投資 7000 萬美元組建 , 總部位於新加坡 .HOOQ 首先在菲律賓 , 泰國和印尼推出 ,2016 年在新加坡推出 ; 此外在印度也有運營 .HOOQ 注重提供本地內容 , 會有本土自制節目 , 還提供印尼語字幕 , 允許用戶可以下載一般畫質或高清內容
HOOQ is an on-demand video streaming platform founded in 2015 by Singtel (Singapore\’s largest telecommunications company),Sony Pictures Entertainment and Warner Broswith a total investment of US$70 million and is headquartered in Singapore.HOOQ was first launched in the Philippines, Thailand and Indonesia, It launched in Singapore in 2016,and operated in India as well.HOOQ focuses on providing local content,local homemade programs,and Indonesian subtitles,allowing users to download general quality or high-definition content
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隨着跨設備消費者行爲的持續增長 , 我們也看到數字內容 , 特別是流媒體視頻越來越多地在不同平臺上擴展 , 試圖無論身在何處都能吸引消費者 . 視頻流服務現在可以在多個數字設備平臺上覆蓋數十萬用戶 , 這意味着用戶體驗策略不再僅僅關注 PC 和移動設備
As cross-device consumer behavior continues to grow,we are also seeing digital content,especially streaming video,expanding more and more on different platforms,trying to attract consumers wherever they are.Video streaming services can now reach hundreds of thousands of users across multiple digital device platforms,meaning that user experience strategies are no longer just about PCs and mobile devices
與此同時 , 流媒體視頻平臺能否開發出新的方式來持續吸引觀衆的注意力 ? 例如 , 視頻平臺是否可以發展爲更好地整合社交功能 , 共享和推薦以獲得收益 ? 社交媒體服務和消息應用已經認識到視頻內容作爲殺手鐗級功能的潛力 ; 現在 , 在視頻平臺上有責任讓這種動態工作反過來
At the same time,can streaming video platforms develop new ways to continue to attract viewers\’ attention?For example,can video platforms evolve to better integrate social features,share and recommend for revenue? Social media services and messaging Applications have recognized the potential of video content as a killer feature;now it is the responsibility of the video platform to reverse this dynamic work
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雙方在會談中進行了技術和商業等多方面的深度交流 , 於視頻信息當中所包含的內容 , 通過視頻的語義分析 , 能夠對其進行邏輯表示和描述 , 其中與很多信息處理領域都存在着很大的關聯 . XChain 認爲 , 在數據存儲 , 數據運算等方面 , 大數據技術具有較爲明顯的優勢 , 而在數據描述 , 數據特徵分類等方面 , 粒計算理論則具有更爲良好的效果 . 因此 , 在視頻語義分析系統當中 , 對粒計算理論和大數據技術進行應用 , 能夠取得十分良好的效果 , 同時也擁有非常廣闊的發展和應用前景
During the talks,the two sides conducted in-depth exchanges on technology and commerce.The content contained in the video information can be logically represented and described by the semantic analysis of the video,and there is a great correlation with many information processing fields. XChain believes that big data technology has obvious advantages in data storage and data computing.In terms of data description and data feature classification,granular computing theory has a better effect.Therefore,in the video semantic analysis system,the application of granular computing theory and big data technology can achieve very good results,but also has a very broad development and application prospects
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2、XChain 技術團隊展開 2019 年第三季度內部技術分享會
XChain technical team launched the third quarter of 2019 internal technology sharing session this week
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本週在 XChain 技術總監的組織下 , 多個地區技術團隊以遠程虛擬會議的方式展開了爲期 1 天的內部技術分享會
This week, under the organization of XChain\’s technical director,several regional technical teams launched a one-day internal technology sharing session in the form of remote virtual meetings
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自公司成立以來 , XChain 的季度內部技術分享一直是技術團隊進行交流和內部學習的最核心活動 . 分佈於世界各地的技術團隊都會在活動中彙報最新的研發進展 , 探討當前最急需解決的問題以及學習行業新動向 . 鑑於近年來公司在零售行業以及電商平臺的合作伙伴穩步增長 , 本次的主題是——大數據篩選 : 如何量化消費者的促銷敏感度
Since the company\’s inception,XChain\’s quarterly internal technology sharing has been the core activity of the technical team for communication and internal learning.Technical teams distributed around the world will report on the latest developments in the event,discuss the most urgent issues to be solved and learn new trends in the industry.In view of the steady growth of the company\’s partners in the retail industry and e-commerce platform in recent years,the theme of this time is – Big Data Screening: How to quantify the consumer\’s promotional sensitivity
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在新零售的背景下 , 用戶的消費觀念逐漸開始重服務 , 更重品牌 , 但是仍然對促銷有很大的依賴 . 各大電商平臺頻繁的促銷活動 , 潛移默化的影響着消費者的購買決策 . 什麼是促銷敏感型用戶 ? 在經濟學理論中解釋到 , 由於價格的波動引起消費者對商品需求量的變化 , 這部分消費者即爲促銷敏感型用戶 . 消費者對價格的敏感範圍越大 , 對促銷敏感度越小 , 反之越大
In the context of new retail,the user\’s consumption concept has gradually begun to focus on service and brand,but still has a great dependence on promotion.The frequent promotion activities of major e-commerce platforms have imperceptibly affected consumers\’ purchasing decisions.What is a promotional sensitive user? In economic theory it is explained that due to price fluctuations,consumers are changing the demand for goods.This part of the consumer is a sales-sensitive user.The greater the consumer\’s sensitivity to price, the less sensitive to promotion, and vice versa
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本次討論 , 大家以電商平臺爲例 , 給出了一些解決方案 . 衡量電商的消費者是否對促銷敏感 , 主要是通過他的歷史訂單裏促銷優惠的比例來判斷 . 一般我們認爲 , 用戶的含促銷訂單比例越高 , 敏感度越高 ; 促銷金額比例越大 , 敏感度越高 . 結合消費者在某段時間在網站上的消費行爲 , 能夠從數據層面理性的探查出消費者的購買力情況和對促銷敏感度 . 根據上述指標 , 就可以爲用戶建立模型了 , 再根據模型輸出的結果 , 應用到各個實際的業務場景中
In this discussion,we took the e-commerce platform as an example and gave some solutions.Measure whether e-commerce consumers are sensitive to promotions, mainly by the proportion of promotional offers in his historical orders.In general,we believe that the higher the proportion of users with promotional orders,the higher the sensitivity;the greater the proportion of promotional funds,the higher the sensitivity.Combining the consumer\’s consumption behavior on the website at a certain time, it is possible to rationally explore the purchasing power of the consumer and the sensitivity to the promotion from the data level.According to the above indicators,the model can be built for the user, and then applied to each actual business scenario according to the output of the model
來自新加坡本部的技術負責人則分享了在這一過程中 , 數據加工環節的解決方案 . 他談到 , 通常給用戶分羣打標籤的模型都會使用聚類算法 , 它是數據分析中十分重要的分層算法 , 能夠將相似的元素聚到一起 , 並且將不同的元素放到其他類別 . 從紛繁複雜的數據中 , 識別精簡到人們能夠理解的層次 . 一般選用相似性度量 , 這種方法的關鍵點在於如何告知計算機數據到底哪裏相似 , 相似的關聯點在哪 , 不同的算法需要的相似性可能不同
The technical leaders from the Singapore headquarters shared the solutions for the data processing process in this process.He said that the model that usually labels users in groups will use the clustering algorithm,which is a very important layering algorithm in data analysis,which can bring together similar elements and put different elements into other categories.From the cumbersome data, the identification is streamlined to the level that people can understand.The similarity measure is generally used.The key point of this method is how to tell the computer data exactly where it is, where similar points are,and the similarities required by different algorithms may be different
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最後 , 大家還就應用場景集思廣益 . 大家認爲消費升級是消費結構變化後最明顯的特徵 , 其核心在於人和場景的準確定位 , 消費需求的分層和細化 . 對於品牌來說 , 首先應找到哪些人才是可以升級的羣體 , 但每個品牌都有自己的特徵和管理運營方式 , 可以應用的場景很多 , 在實際業務中多多思考如何使用用戶數據 , 做到數據取之於用戶 , 用之於用戶的產品之道
Finally,everyone is also brainstorming about the application scenarios.Everyone thinks that consumption upgrading is the most obvious feature after the change of consumption structure.The core of it is the accurate positioning of people and scenes,and the stratification and refinement of consumer demand.For brands,first of all,we should find out which talents can be upgraded,but each brand has its own characteristics and management operations.There are many scenarios that can be applied.In the actual business,we should consider more about how to use user data,so that the data is taken from the user and used in the product.
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3、本週技術部分更新 Technical updates of this week_
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錢包功能優化 , 兼容 windows、Mac、Linux 等多平臺操作系統
Wallet function optimization,compatible with multi-platform operating systems such as windows, Mac, Linux, etc
用私鑰解密出加密數據的密鑰， 進而解密數據
Decrypt data key encrypted by public key with private key, then decrypt data with data key
備註說明：XChain 專指於 2016 年在新加坡成立的 XChain 基金會團隊*
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