LiveRetro: Visual Analytics for Strategic Retrospect in Livestream E-Commerce

Autor:	Wu, Yuchen, Xu, Yuansong, Gao, Shenghan, Wang, Xingbo, Song, Wenkai, Nie, Zhiheng, Fan, Xiaomeng, Li, Quan
Rok vydání:	2023
Předmět:	Computer Science - Human-Computer Interaction
Druh dokumentu:	Working Paper
Popis:	Livestream e-commerce integrates live streaming and online shopping, allowing viewers to make purchases while watching. However, effective marketing strategies remain a challenge due to limited empirical research and subjective biases from the absence of quantitative data. Current tools fail to capture the interdependence between live performances and feedback. This study identified computational features, formulated design requirements, and developed LiveRetro, an interactive visual analytics system. It enables comprehensive retrospective analysis of livestream e-commerce for streamers, viewers, and merchandise. LiveRetro employs enhanced visualization and time-series forecasting models to align performance features and feedback, identifying influences at channel, merchandise, feature, and segment levels. Through case studies and expert interviews, the system provides deep insights into the relationship between live performance and streaming statistics, enabling efficient strategic analysis from multiple perspectives. Comment: Accepted by IEEE VIS 2023
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2307.12213 Zobrazit plný text záznamu View this record from Arxiv