Proposed Matching Scheme with Confidence and Prediction Uncertainty in Shared Economy

Longhua Guo, Jie Wu, Wei Chang, Jun Wu, Jianhua Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

As a shared economy platform, Airbnb provides collaborative practices for customers and guides them to match with hosts' rooms. Based on the records and ratings, there is great significance attached to inferring the satisfaction between users and rooms. Several essential problems arise when evaluating satisfaction and matching. Data confidence and prediction bias influence the inference performance of the satisfaction. When two users stay in a room, the two users' joint satisfaction also deserves particular research because of the roommate effect. In this paper, the satisfaction is inferred considering confidence and prediction uncertainties. The satisfaction with the confidence uncertainty is modeled using a normalized variance of the Beta distribution. The algorithms for inferring satisfaction with the prediction uncertainties are divided into two parts: a weighted matrix factorization-based algorithm for individuals and a preference similarity-based algorithm for pairs. The problem can be reduced to a matching problem. Finally, extensive experiments show the effectiveness and accuracy of the proposed method.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 42nd Conference on Local Computer Networks, LCN 2017
PublisherIEEE Computer Society
Pages591-594
Number of pages4
ISBN (Electronic)9781509065226
DOIs
Publication statusPublished - 2017 Nov 14
Externally publishedYes
Event42nd IEEE Conference on Local Computer Networks, LCN 2017 - Singapore, Singapore
Duration: 2017 Oct 92017 Oct 12

Publication series

NameProceedings - Conference on Local Computer Networks, LCN
Volume2017-October

Conference

Conference42nd IEEE Conference on Local Computer Networks, LCN 2017
Country/TerritorySingapore
CitySingapore
Period17/10/917/10/12

Keywords

  • confidence uncertainty
  • matching scheme
  • prediction uncertainty
  • Shared economy

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture

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