Comments (3)
Hey @sjcotto, you will first need to gather some data in order to train the personalization model but you can still run Metarank with noop model that will return the same results it will get: https://docs.metarank.ai/reference/overview/supported-ranking-models#noop
from metarank.
thanks - using the noop option the ranking will still work with user-features or this is a dummy result ?
from metarank.
Results will be returned in the same order as you will send them
from metarank.
Related Issues (20)
- Import LightGBM trained model to metarank HOT 3
- Feature storage is not optimal for shared fields
- The "termfreq" command could detect an existing target file and abort instead of failing at the end
- The “sort” command should not erase the source file when “data” equals “out”
- Diversity feature throws an exception when the data is missing.
- The "import" command should be able to continue importing when the state file exists.
- Offline import should be able to wipe the state at the end
- doc mentions obsolete relative_number feature
- Add blocklist for feature names: values, models
- validate crashes when dataset has clicks with references to non-existing ranking events
- Make eval metrics configurable
- GCP Memstore redis: print a warning for lack of cache invalidation support
- warmup with synthetic traffic support
- doc: describe setup with file-based immutable store
- Memory leak when using Redis persistence
- : and / cannot be used in search queries using Redis persistence layer HOT 3
- Kinesis client throws errors on expired iterator
- There seems to be a bug after training a model that is flushed to redis.
- Add feature names to the dataset export command HOT 1
- Add option to use ndcg@{conf.ndcgCutoff} objective function
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from metarank.