Is Romantic Desire Predictable? Machine Learning Applied to Initial Romantic Attraction

@article{Joel2017IsRD,
  title={Is Romantic Desire Predictable? Machine Learning Applied to Initial Romantic Attraction},
  author={Samantha Joel and Paul W Eastwick and E. Finkel},
  journal={Psychological Science},
  year={2017},
  volume={28},
  pages={1478 - 1489}
}
Matchmaking companies and theoretical perspectives on close relationships suggest that initial attraction is, to some extent, a product of two people’s self-reported traits and preferences. We used machine learning to test how well such measures predict people’s overall tendencies to romantically desire other people (actor variance) and to be desired by other people (partner variance), as well as people’s desire for specific partners above and beyond actor and partner variance (relationship… Expand
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References

SHOWING 1-10 OF 58 REFERENCES
Consistency and Inconsistency Among Romantic Partners Over Time
  • 17
  • PDF
Relational mate value: consensus and uniqueness in romantic evaluations.
  • 34
  • PDF
What leads to romantic attraction: similarity, reciprocity, security, or beauty? Evidence from a speed-dating study.
  • 153
The predictive validity of ideal partner preferences: a review and meta-analysis.
  • 201
  • PDF
Mate preferences do predict attraction and choices in the early stages of mate selection.
  • 127
  • PDF
...
1
2
3
4
5
...