“Make LinkedIn feel instantaneous” is a mantra our performance team lives by to deliver the best possible experience to our members. We are constantly on the lookout for ways to improve our site speed and user experience, be it through optimizing our infrastructure and edge, accelerating our web and mobile applications’ performance, or tuning our systems and...
A/B Testing Articles
-
- Topics:
- Performance,
- A/B Testing,
- experimentation,
- T-REX
-
At LinkedIn, most decisions are made using experiments. When we want to decide between two features, we test them against each other in the real world: we give feature A to a random set of members, feature B to another set, and we compare the results. Are users of feature A more engaged? Do they have a better experience with our products? If so, feature A wins....
- Topics:
- A/B Testing,
- Testing,
- data science,
- experimentation,
- T-REX,
- Data
-
At LinkedIn, we use data to improve our members’ experiences while using our site. On the video team, we value metrics that yield insight on how long our videos take to load, why certain videos draw more attention than others, and how our members tend to interact with videos across web, iOS, and Android. In short, the various data points collected during video...
- Topics:
- A/B Testing,
- experimentation,
- NYC Engineering,
- Data,
- Performance,
- Video,
- T-REX
-
Co-authors: Bonnie Barrilleaux and Dylan Wang Our 567M members use the LinkedIn feed to talk to each other a lot: more than a million...
- Topics:
- Feed Personalization ,
- A/B Testing,
- data science,
- experimentation,
- Data,
- relevance,
- T-REX
-
Editor’s note: The use of AI in LinkedIn products has been the subject of multiple press articles and research papers (some...
-
Co-authors: Tim Jurka, Souvik Ghosh and Pete Davies Overview At LinkedIn, our mission is to connect the world’s professionals to make...
- Topics:
- Feed Personalization ,
- A/B Testing,
- Feed,
- experimentation,
- research,
- Product Design,
- relevance,
- T-REX