[MGNLPER-161] Implement a user-based-ranking PoC Created: 08/Feb/22 Updated: 20/Jun/23 Resolved: 28/Feb/22 |
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| Status: | Closed |
| Project: | Periscope |
| Component/s: | None |
| Affects Version/s: | 1.2.4 |
| Fix Version/s: | 2.0.0 |
| Type: | Improvement | Priority: | Neutral |
| Reporter: | Andrei Ichimescu | Assignee: | Andrei Ichimescu |
| Resolution: | Fixed | Votes: | 0 |
| Labels: | authx | ||
| Remaining Estimate: | Not Specified | ||
| Time Spent: | 3.5h | ||
| Original Estimate: | Not Specified | ||
| Issue Links: |
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| Template: |
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| Acceptance criteria: |
Empty
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| Task DoD: |
[X]*
Doc/release notes changes? Comment present?
[X]*
Downstream builds green?
[X]*
Solution information and context easily available?
[X]*
Tests
[X]*
FixVersion filled and not yet released
[X] 
Architecture Decision Record (ADR)
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| Documentation update required: |
Yes
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| Epic Link: | Remove ranking from bundle | ||||||||||||||||
| Sprint: | AuthorX 3, AuthorX 4 | ||||||||||||||||
| Story Points: | 8 | ||||||||||||||||
| Description |
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Implement a PoC based on user collaborative filtering that can enhance the NoopResultRanker. The ranking system based on recommendation is described here: https://www.toptal.com/algorithms/predicting-likes-inside-a-simple-recommendation-engine Note: the recommendation engine above can be simplified by ignoring the "dislike" feature.
Implementation examples can be found here:
Implementation details: Focus on simplicity Prioritise search results that have been previously selected by the active user. Use an in memory storage system
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