Skip to content

{ Tag Archives } linkedin

The Kamikaze version 3.0.0 is released

Kamikaze is a utility package wrapping set implementations on sorted integer arrays. Search indexes, graph algorithms and certain sparse matrix representations tend to make heavy use of sorted integer arrays. For example, in search engines, for each term t, the index, or called inverted index, contains an inverted list, which is typically a sequence of [...]

Also tagged , ,

LinkedIn Faceted Search

Faceted search has been fully rolled out late last year, we wanted to give you some insights into how it came to be, some of its challenges and what is in the future. At scale and with relevance, faceted search makes a lot of sense on the rich structured data we have here at LinkedIn.  [...]

Also tagged

Building a terabyte-scale data cycle at LinkedIn with Hadoop and Project Voldemort

Many of LinkedIn’s products are critically dependent on computationally intensive data mining algorithms. Examples of these include some modules like People You May Know, Viewers of This Profile Also Viewed, and much of the Job matching functionality that we give to people who post jobs on the site. To support these data-intensive products we have [...]

Also tagged ,