The Impact of Semantic Context Cues on the User Acceptance of Tag Recommendations: An Online Study

TL;DR

This study investigates how semantic context cues influence user acceptance of tag recommendations in social bookmarking, demonstrating their greater impact in collaborative settings compared to individual tagging.

Contribution

It provides empirical evidence that semantic context cues significantly enhance user acceptance of tag recommendations in collaborative environments, compared to simple popularity-based methods.

Findings

Semantic cues increase acceptance in collaborative tagging

Context-aware algorithms outperform popularity baselines

Study conducted with 17 university employees

Abstract

In this paper, we present the results of an online study with the aim to shed light on the impact that semantic context cues have on the user acceptance of tag recommendations. Therefore, we conducted a work-integrated social bookmarking scenario with 17 university employees in order to compare the user acceptance of a context-aware tag recommendation algorithm called 3Layers with the user acceptance of a simple popularity-based baseline. In this scenario, we validated and verified the hypothesis that semantic context cues have a higher impact on the user acceptance of tag recommendations in a collaborative tagging setting than in an individual tagging setting. With this paper, we contribute to the sparse line of research presenting online recommendation studies.