Relevance and ranking in online dating systems
We present the first in-depth study of information retrieval approaches applied to match-making systems.Specifically, we focus on retrieval for a dating service.Anti-immigrant attitudes are related to stronger in-group preferences among natives.Unexpectedly, non-Arabic minority daters belonging to large-size communities have strong preferences for Europeans. This article is the first to present a comprehensive view of this important recommender class.We first identify the characteristics of reciprocal recommenders and compare them with traditional recommenders, which are widely used in e-commerce websites.This domain offers several unique problems not found in traditional information retrieval tasks.
Match-making systems refer to systems where users want to meet other individuals to satisfy some underlying need.
The results have implications for immigrant integration policies and demonstrate that Internet dating allows efficient selection by racial divisions, perpetuating country-specific racial inequalities.
The goal of advertising is and always has been to have an impact.
Using a large-scale sample of online daters in nine European countries, we engage in the first cross-national analysis of race-related partner preferences and examine the link between contextual factors and ethnic selectivity.
We provide a unique test of contact, conflict, and in-group identification theories.