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RouteRec: Strict Evaluation of Recommender-Agent Selection and Aggregation
Kaiji Zhou
, Vladimir Kalmykov
,
Yue Feng
Computer Science
Research output
:
Contribution to conference (unpublished)
›
Paper
›
peer-review
Overview
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Dive into the research topics of 'RouteRec: Strict Evaluation of Recommender-Agent Selection and Aggregation'. Together they form a unique fingerprint.
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Keyphrases
Item-level
100%
Agent Selection
100%
Recommender Agent
100%
Hard Selection
66%
BM25
66%
Effective Action
33%
Point Estimate
33%
Headroom
33%
Deployable
33%
Recommendation System
33%
Heterogeneous Agents
33%
Content-based
33%
Action Space
33%
Cost Constraint
33%
MovieLens
33%
Re-ranking
33%
Sequential Model
33%
Task-aware
33%
Oracle Selection
33%
Retriever
33%
Leakage-free
33%
Lightweight Framework
33%
Collaborative Filter
33%
Multi-Agent Routing
33%
Offline Settings
33%
Computer Science
Large Language Model
100%
Point Estimate
25%
Recommender Systems
25%
Aggregation Level
25%
Collaboration
25%
Sequential Model
25%