Instagram 平台 YouTubers 推薦

Abstract

YouTube has become one of the largest platforms for creating internet celebrities, where the internet celebrities build and maintain a channel to establish tight connections with their followers or subscribers. Moreover, many internet celebrities tend to share their posts on multiple platforms, especially on popular one like Instagram, to promote their YouTube channels and acquire more followers to increase their reputations and influences. However, some YouTubers popular on YouTube are not popular on Instagram, and vice versa. Therefore, in our study, we propose a deep learning framework for recommending YouTubers to users on Instagram. The proposed framework contains three phases. First, we extract the features from the data collected from YouTube, including textual features, video features and social features. Next, we extract the features from the data collected from Instagram, including photo features, social features and following features. Then, we combine these features together to characterize each YouTuber. Finally, based on the combined features, we design an attentive recommendation model for computing the recommendation score of each YouTuber, and recommend top-k YouTubers with highest scores to users. The experiment results show that our proposed model outperforms the state-of-the-art methods in terms of precision, recall, F1-score and Normalized Discounted Cumulative Gain (NDCG), and mitigates the effect of cold start problems. Our study can help YouTubers, internet celebrities and businesses formulate effective marketing strategies, and assist users in discovering the YouTubers of interest.