2019 Sensor Data Whitepapers: Recommendation Systems, Tag Profiling, Data‑Research‑Product Integration, Event Tracking, and Big Data Architecture
This article lists several 2019 whitepapers from Sensor Data covering how enterprises can build recommendation systems from scratch, construct tag‑profile frameworks, integrate data research with product development, implement enterprise event‑tracking methodologies, and understand big‑data technologies and architectures.
From Zero to One: A Guide to Building Recommendation Systems – This whitepaper explains how companies can construct recommendation systems from the ground up in the era of big data, addressing common challenges and providing comprehensive solutions to enable personalized experiences and unlock the value of recommendation technology.
Tag Profile System Application and Construction – The document introduces the application scenarios of tag‑profile systems, outlines how to build tags and profile frameworks, and presents a case study from the securities industry.
Data, User Research, and Product Integration – Describes how user research, data analysis, and product teams collaborate across user research, data collection, requirement analysis, design decisions, launch verification, and iterative optimization, illustrated with the PPmoney redesign case.
Enterprise Event‑Tracking System Methodology and Practice – Based on the practical experience of over 1,000 enterprise clients, this whitepaper showcases best practices for data collection and event‑tracking, detailing the methodology for building a robust tracking system to solve data acquisition challenges.
Big Data Technology and Architecture – A whitepaper shared for educational purposes that discusses big‑data technologies and architectural considerations.
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Big Data Technology & Architecture
Wang Zhiwu, a big data expert, dedicated to sharing big data technology.
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