Recommendation System Unlearning Survey
Share how recommendation system unlearning is handled in your context, including the scenario, approach, and outcomes. Please answer based on your experience with recommendation system unlearning.
Survey Response Context
Respondent role or perspective
*
Researcher
ML Engineer
Product Manager
Data Scientist
Other
Organization or project context
Direct experience with recommendation system unlearning
*
Yes
No
Unlearning Scenario Details
System or Product Name
*
Model or Recommendation Setup Type
*
Collaborative Filtering
Content-Based
Hybrid
Matrix Factorization
Deep Learning-Based
Rule-Based
Other
Unlearning Method or Approach Used
*
Primary Reason for Unlearning
*
Unlearning Outcomes and Evaluation
Perceived effectiveness of unlearning
*
Low effectiveness
1
2
3
4
5
6
7
8
9
High effectiveness
10
1 is Low effectiveness, 10 is High effectiveness
Rate key outcomes
*
Rows
Very low
Low
Moderate
High
Very high
Speed
1
2
3
4
5
Completeness
6
7
8
9
10
Retraining impact
11
12
13
14
15
Operational complexity
16
17
18
19
20
Observed measurable impact on recommendations after unlearning?
*
Yes
No
Unsure
Submit
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