# Boosting popular news **URL:** \ **Category:** Elasticsearch\ **Created:** [January 11, 2012, 4:47pm UTC](https://discuss.elastic.co/t/boosting-popular-news/6349 "2012-01-11T16:47:57Z")\ **Posts on this page:** 2\ **Page:** 1
**Author:** ![Eugene\_Strokin](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/eugene_strokin/32/1238_2.png) [@Eugene\_Strokin](https://discuss.elastic.co/u/Eugene_Strokin)\ **Post date:** [January 11, 2012, 4:47pm UTC](https://discuss.elastic.co/t/boosting-popular-news/6349/1 "2012-01-11T16:47:57Z")
Hello, I remamber Brandon Sterne announced Social News aggregator, which is based on ES, while ago. I have a question about boosting popular news. I have similar task for my project, I need to boost some documents based on user's like/dislike actions in last N days. Could you give me some advice where should I start? And if this advice will be on some real application (like [sharengeti.com](http://sharengeti.com)) example it would be double grate))) In general I've started by creating a new document type called Like, which would have Document ID and User ID, and date when Like is happened. Now I can store and index Likes of my users. But now I need to count likes of my documents from last N days, and use the number as a boost factor. I prefer to do this on a fly, but I don't know how, if possible at all. Could you please give me some advice here? In worst case I was planning to have some kind of job, which would calculate the likes hourly and update a document with the number, but this would make relevantency of search not real time, and updating documents each hour is really what I don't want to do. Thanks in advance, Eugene S. ---
**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\ **Post date:** [July 6, 2017, 3:43am UTC](https://discuss.elastic.co/t/boosting-popular-news/6349/2 "2017-07-06T03:43:05Z")