A Multi-Objective Scoring Approach to Contract and Exposure-Aware Re-Ranking in Real-Estate Recommendation
A Multi-Objective Scoring Approach to Contract and Exposure-Aware Re-Ranking in Real-Estate Recommendation
StatusVoR
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Authors
Arct, Bogdan
Bieniek, Mateusz
Kanabus, Bartłomiej
Kozłowski, Aleksander
Wetmański, Piotr
Kruk, Michał
Stachowiak, Sylwia
Kurek, Jarosław
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Date
2026-02-11
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7
Volume
17
Pages
Pages
1-28
ISSN
2078-2489
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2026-02-11
Abstract PL
Abstract EN
Large online marketplaces increasingly rely on multi-stage ranking pipelines where a learned relevance model is complemented by business-aware constraints such as contractual pacing, exposure caps and commercial alignment objectives. This paper develops a second-stage, contract-aware re-ranking layer for real-estate recommendation that explicitly balances user–item relevance with plan fulfillment, lead value and operational guardrails. The proposed multi-objective re-ranker (PMOR) combines a calibrated base relevance score with multiplicative business adjustments and subtractive penalties for approaching contractual caps and for within-slate similarity. The method supports heterogeneous settlement models, including pay-per-action and fixed-fee contracts, via contract-specific weights. Because the scoring function is deterministic and structured, it admits exact component-wise contribution analysis and counterfactual ablations without relying on surrogate explainability methods. Offline evaluation on production logs from an anonymized marketplace covers 4219 recommendation requests and 184,147 candidate items, joined with daily business snapshots using an as-of strategy to prevent look-ahead bias. Under a profit proxy based on effective lead value, position discounting and billability, PMOR achieves an indexed expected-revenue proxy of 487.4 (baseline = 100), corresponding to a lift of 387.4% over a model-only baseline and 48.4% over a legacy production re-ranker (LPR). The gain is primarily associated with improved billable exposure, increasing the share of billable positions in TOP-3 to 78.22% compared with 37.85% for LPR. We discuss parameter sensitivity, operational considerations and limitations of offline proxy objectives for deployment.
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Keywords PL
Keywords EN
recommender systems
re-ranking
multi-objective ranking
exposure control
pacing
diversity
contract-aware optimization
marketplace commercial alignment
re-ranking
multi-objective ranking
exposure control
pacing
diversity
contract-aware optimization
marketplace commercial alignment
Keywords other
Sustainable Development Goals
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