Comments (7)
@dkohlsdorf To be more specific you say that there are no user_id + item_id present in the test interactions and train interactions. I did a quick check in which I created a submission with only training interactions and it scores 154890.45. Assuming that I didn't didn't make a mistake is this something to be expected?
For example this query returns 35999 interactions.
SELECT COUNT(*) FROM (
SELECT DISTINCT user_id, item_id FROM interactions WHERE week = 45 AND interaction_type in (1,2,3)
INTERSECT
SELECT DISTINCT user_id, item_id FROM interactions WHERE week < 45 AND interaction_type in (1,2,3)
) as T
So I assume that a similar number is for the week 46 (test week).
from 2016.
Well this is a little hypothetical :). We held out the interaction data of the one week after the dataset ends.
These are the interactions you have to predict for the target users.
Hope that helps
Daniel
from 2016.
Hi Daniel,
Does it mean that it is the same weeknumber for everybody? Maybe the each
user's last weeknumber plus 1?
Thanks again :)
Tales Tenorio de Souza Pimentel
https://br.linkedin.com/pub/tales-tenorio-pimentel/63/5a6/661
from 2016.
@dkohlsdorf
Hi Daniel
I don't understand your mean.Which dataset you held out the interaction data of the one week ? items.csv?
Thanks
from 2016.
The data you can access and learn on is extracted from Aug - Nov 2015.
We held out the data of the week after the end date in November.
And yes we only held out interactions since predicting the interactions is our ground truth.
All users and items you need to make your predictions are given to you.
Daniel
from 2016.
One followup question -- is it possible those "interactions in the next week" already appear in the users' interaction history? or we only need to predict "new ones"? From the description, it seems to be the former, but we would like to confirm. Thanks !
from 2016.
No the interactions for the test set are not in the data
from 2016.
Related Issues (20)
- How to measure the relevance between user and item in the next week? HOT 2
- question on Metric : Precision at k. What if len(recommendation) < k HOT 1
- Question on the order of the test set HOT 1
- Invalid user_ids HOT 1
- Private leaderboard evaluation HOT 4
- Deadline for submitting solutions HOT 8
- My team is waiting for approval for several days. HOT 2
- Dataset undownloadable
- Why my team is still waiting for approval ? HOT 2
- are all users in target_users also included in the interactions files? HOT 1
- Have been created a team the day before yesterday but still did not receive approval for downloading datasets? HOT 1
- About the rule "Your algorithm should not attempt to identify artificial users, or reconstruct flipped values." HOT 1
- We have created a team HOT 4
- Could we get one of the previous results submitted? HOT 2
- something about submission time HOT 1
- Evaluation system HOT 5
- Issue about participating the workshop HOT 2
- About the uploaded paper
- Workshop proceedings HOT 2
- Is the dataset still open for download yet? HOT 62
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 2016.