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Data Annotation to Optimize Searchability in E-Commerce
icons-action-calendar12 Apr 2021
10 minutes read
TAUS formed a community of 200+ contributors based on their product affinity in various product categories for data annotation in several European languages for a global e-commerce corporation.

Data annotation is the categorization and labeling of data to be used in the training of AI applications. Training datasets must be carefully categorized and annotated for each specific use case. High-quality, human-powered data annotation allows companies to build and improve AI implementations which results in enhanced customer experience solutions such as product recommendations, relevant search engine results, computer vision, speech recognition, chatbots, and more.

For our client, a multinational e-commerce corporation, a community of 200+ TAUS contributors was formed based on their product affinity in various product categories, ranging from make-up and collectible coins to professional audio equipment, to annotate data in several European languages. The annotated data was to be used in training the client’s high-tech Machine Learning systems to optimize webshop functionalities such as searchability.

 

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Author
şölen-aslan

Şölen is the Head of Digital Marketing at TAUS where she leads digital growth strategies with a focus on generating compelling results via search engine optimization, effective inbound content and social media with over seven years of experience in related fields. She holds BAs in Translation Studies and Brand Communication from Istanbul University in addition to an MA in European Studies: Identity and Integration from the University of Amsterdam. After gaining experience as a transcreator for marketing content, she worked in business development for a mobile app and content marketing before joining TAUS in 2017. She believes in keeping up with modern digital trends and the power of engaging content. She also writes regularly for the TAUS Blog/Reports and manages several social media accounts she created on topics of personal interest with over 100K followers.

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