Congratulations to the Naukri Data Science team. InfoEdge Merit Awards for "Improvements in Naukri Search and Matching Engines over the year".
"Search and matching engines are core to Naukri experience for both jobseekers and recruiters. Over the last few years, we have seen a phenomenal improvement through semantic search and better quality recommendations. Jobseeker experience is now personalized with new contextual autocomplete and suggestors improving the quality of search criteria entered. Semantic search and personalization deliver better discovery and more relevance jobs. Jobseeker feedback about relevance of job alerts has improved from 60% in 2014 to 76% in 2016 and is at present close to 80%. In addition, new job recommendation algorithms – Jobs Applied by Similar Profiles (JASP) and Online Recommendations have been a phenomenal success and brought additional incremental traffic to Naukri. Recommendations are now responsible for 80% of all applies on Naukri and are key driver of user growth in Naukri. On the recruiter side, semantic search has improved the experience of recruiters and improved the discovery of relevant CVs. Apply Relevance Score has received very positive reviews from recruiters. Today, we don’t send 20% of the applies received as an individual mail. Delete Job Survey from recruiters has shown a 20% improvement largely because of Apply Relevance Score."
Congratulations to all past and present members of the Naukri Data Science team.
- Vivek Jain
"Search and matching engines are core to Naukri experience for both jobseekers and recruiters. Over the last few years, we have seen a phenomenal improvement through semantic search and better quality recommendations. Jobseeker experience is now personalized with new contextual autocomplete and suggestors improving the quality of search criteria entered. Semantic search and personalization deliver better discovery and more relevance jobs. Jobseeker feedback about relevance of job alerts has improved from 60% in 2014 to 76% in 2016 and is at present close to 80%. In addition, new job recommendation algorithms – Jobs Applied by Similar Profiles (JASP) and Online Recommendations have been a phenomenal success and brought additional incremental traffic to Naukri. Recommendations are now responsible for 80% of all applies on Naukri and are key driver of user growth in Naukri. On the recruiter side, semantic search has improved the experience of recruiters and improved the discovery of relevant CVs. Apply Relevance Score has received very positive reviews from recruiters. Today, we don’t send 20% of the applies received as an individual mail. Delete Job Survey from recruiters has shown a 20% improvement largely because of Apply Relevance Score."
Congratulations to all past and present members of the Naukri Data Science team.
- Vivek Jain
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