Customer Stories / Human Resource
1111 Job Bank Improves Job Search Accuracy with Managed Search Services and Generative AI
Learn how a recruiting platform in Taiwan used Amazon Bedrock to help B2B customers write job descriptions 67% faster and Amazon Personalize to deliver more relevant job recommendations to B2C customers.
67%
less time to write job descriptions
12%
higher resume submission rate
33.01%
improvement in search error rate
10,000+
search errors reduced per month
Automated submissions
Empowers jobseekers to fill forms faster
Overview
1111 Job Bank is a job-search platform in Taiwan that serves over 13 million B2C and B2B customers. To accelerate job matching and integrate generative AI, the company migrated to Amazon Web Services (AWS). Since the move to AWS, 1111 Job Bank has reduced the time for B2B customers to write job descriptions by two-thirds and increased resume submission rates by 12 percent through more accurate job listings and personalized recommendations.
Opportunity | Scaling for Growth and Improving Job Search Efficiency
Founded in 1998, 1111 Job Bank is a job-hunting platform in Taiwan with 9 million registered individual job seekers and 4 million B2B clients. For over two decades, the company managed its technology through a colocated data center. However, as its customer base grew and it faced competition from emerging online recruiters, 1111 Job Bank sought to improve search efficiency and matching accuracy.
One key challenge was the lengthy and repetitive application process, where job seekers had to complete the same fields on multiple applications. . “Job seekers had to go through extensive filtering, and finding a suitable job match took too long,” says Roger Liu, chief strategy officer at 1111 Job Bank. The company also aimed to launch new AI initiatives, which required the scalability and computing power of the cloud.
We’ve seen a higher score in job matching, reflecting that applicants can now find the right jobs faster while spending far less time searching.”
Roger Liu
Chief Strategy Officer at 1111 Job Bank
Solution | Powering Job Search with AI-Driven Personalization and Automation
In 2022, 1111 Job Bank joined the AWS Digital Innovation Program to prioritize initiatives to improve the job search experience and explore generative AI solutions. This led to a collaboration with Headquarter.ai, an AWS Partner, to enhance search efficiency and streamline job descriptions. Headquarter.ai helped 1111 Job Bank adopt Amazon Personalize and Amazon OpenSearch Service. Amazon Personalize delivers customized job rankings based on each user’s profile, while Amazon OpenSearch Service powers new features like resume abstract—which auto-fills fields from uploaded resumes, saving users time during applications. On the back end, 1111 Job Bank implemented Amazon QuickSight to gain insight into search effectiveness and identify trending keywords in the hiring market.
The company also integrated Amazon Bedrock to leverage generative AI features. B2B customers benefit from tools that assist in writing job descriptions, reducing time and effort by two-thirds. For B2C users, Amazon Bedrock identifies job preferences and generates concise profile summaries for applications. Additionally, a new chatbot-powered checkbox feature helps job seekers quickly complete targeted job applications by answering specific questions.
Outcome | Enhancing Job Matching and Reducing Job Description Time by 67%
By migrating to AWS, 1111 Job Bank has significantly improved job search efficiency and matching accuracy, delivering a seamless experience for both job seekers and employers. The platform has achieved a 12 percent increase in resume submission rates and a 33.01 percent improvement in search error rates, reducing over 10,000 search errors per month. These advancements have contributed to steady business growth of 20–30 percent across both B2C and B2B segments. “We’ve seen a higher score in job matching, reflecting that applicants can now find the right jobs faster while spending far less time searching,” says Liu.
On the B2B side, companies are generating more comprehensive job descriptions 67 percent faster using large language models (LLMs) on Amazon Bedrock. “We’ve lowered the barrier to entry for our business users,” Liu explains. “Companies can now produce detailed job introductions and requirements that better target candidates with specific skills.” The platform has received positive feedback from corporate clients who appreciate the increased ease and efficiency of job posting. Further efficiency boosts have come from the adoption of Amazon OpenSearch Service, replacing a legacy local search provider that previously struggled with network outages and maintenance issues. 1111 Job Bank now collaborates with partners and customers in real time, accelerating service delivery and improving system responsiveness.
Furthermore, 1111 Job Bank has benefited from AWS Training and Certification, which equipped employees with skills to drive further innovations. “The AWS team in Taiwan has been instrumental throughout our journey—assisting during migration and collaborating with us and our partners at every stage,” Liu concludes. With a highly available, scalable cloud infrastructure, 1111 Job Bank drives innovation. The team is actively refining AI-generated job descriptions to attract even more businesses and streamline the hiring process while exploring further opportunities to enhance user experience.
About 1111 Job Bank
Founded in 1998, 1111 Job Bank is a trusted job-hunting platform in Taiwan, serving over 9 million B2C job seekers and 4 million B2B customers posting job listings. The platform uses generative AI to deliver intuitive and accurate job matching services, helping individuals find the right opportunities while enabling businesses to streamline hiring.
AWS Services Used
Amazon OpenSearch Service
Securely unlock real-time search, monitoring, and analysis of business and operational data
Amazon Personalize
Elevate the customer experience with ML-powered personalization
Learn more »
Amazon QuickSight
Fast business analytics service
Learn more »
Amazon Bedrock
The easiest way to build and scale generative AI applications with foundation models
Learn more »
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