A Multi-Objective Scoring Approach to Contract and Exposure-Aware Re-Ranking in Real-Estate Recommendation

StatusVoR
dc.abstract.enLarge 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.
dc.affiliationWydział Projektowania w Warszawie
dc.contributor.authorArct, Bogdan
dc.contributor.authorBieniek, Mateusz
dc.contributor.authorKanabus, Bartłomiej
dc.contributor.authorKozłowski, Aleksander
dc.contributor.authorWetmański, Piotr
dc.contributor.authorKruk, Michał
dc.contributor.authorStachowiak, Sylwia
dc.contributor.authorKurek, Jarosław
dc.date.access2026-02-11
dc.date.accessioned2026-10-28T10:08:05Z
dc.date.available2026-10-28T10:08:05Z
dc.date.created2026
dc.date.issued2026-02-11
dc.description.accesstimeat_publication
dc.description.issue7
dc.description.physical1-28
dc.description.sdgIndustryInnovationAndInfrastructure
dc.description.versionfinal_published
dc.description.volume17
dc.identifier.doi10.3390/info17070674
dc.identifier.issn2078-2489
dc.identifier.urihttps://share.swps.edu.pl/handle/swps/2695
dc.identifier.weblinkhttps://www.mdpi.com/2078-2489/17/7/674
dc.languageen
dc.pbn.affiliationinformatyka techniczna i telekomunikacja
dc.pbn.affiliationinformatyka
dc.rightsCC-BY
dc.rights.questionYes_rights
dc.share.articleOTHER
dc.subject.enrecommender systems
dc.subject.enre-ranking
dc.subject.enmulti-objective ranking
dc.subject.enexposure control
dc.subject.enpacing
dc.subject.endiversity
dc.subject.encontract-aware optimization
dc.subject.enmarketplace commercial alignment
dc.swps.sciencecloudsend
dc.titleA Multi-Objective Scoring Approach to Contract and Exposure-Aware Re-Ranking in Real-Estate Recommendation
dc.title.journalInformation
dc.typeJournalArticle
dspace.entity.typeArticle