Case Study: InfoJobs achieves personalized, scalable career-path recommendations with Neo4j

Europe’s leading job site recommends your career path with Neo4j

InfoJobs, Europe’s largest online job site, needed to recommend meaningful career paths but found it hard to model and exploit its relationship‑rich resume data. With millions of candidates, job experiences and skills, interactive queries for probability estimates and personalized next‑step suggestions became impractical using their previous approaches.

They built a Career Path Portal on the Neo4j graph database (with memcache to cache algorithm results and monthly updates of static data). The graph model made implicit connections visible, enabled fast, scalable queries for recommendations and probability estimates, reduced pre‑calculation complexity and cost, and saved significant time and money while uncovering new business value.

InfoJobs

Marc Pou

Product Manager