User interest-based recommender system for image-sharing social media
- PDF / 1,731,148 Bytes
- 23 Pages / 439.37 x 666.142 pts Page_size
- 43 Downloads / 254 Views
User interest-based recommender system for image-sharing social media Kunyoung Kim 1 & Jongmo Kim 1 & Minhwan Kim 1 & Mye Sohn 1 Received: 20 January 2020 / Revised: 24 June 2020 / Accepted: 3 July 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract
Nowadays, many people use social media to communicate with others, share their interests and obtain information. As the performance of the embedded cameras on mobile phones improve, image-sharing social media became a popular tool for people to communicate with others and share their interests, which yields vast amount of data related to the users’ interests. However, only few studies pay attention to analyze data in image-sharing social media and utilize it to perform appropriate services, such as recommendation. We propose a framework to discover user interests using the Latent Dirichlet Allocation (LDA) based topic model and to recommend protentional friends and POIs related to the target user’s interests. To do this, we devise the advanced LDA based topic model which can be utilized in imagesharing social media by exploiting both textual features and visual features. In addition, the novel method to discover user interest is proposed by generating topic graph to represent the user interest as graph-shape, which is an effective way to completely describe the user interest as explicit form. Lastly, we propose a method to recommend POIs and potential friends to the target user by calculating graph similarity between topic graphs. To demonstrate the superiority of our framework, we collected real data from image-sharing social media and conducted comparison experiments with state-of-the-art methods. Keywords topic graph . LDA-based topic model . image-sharing social media . recommender system in social media
1 Introduction In recent, social media has become a dominant tool for people to communicate with each other and maintain relationships. Especially, the spread of smartphones with high-performance cameras has This article belongs to the Topical Collection: Special Issue on Intelligent Fog and Internet of Things (IoT)-Based Services Guest Editors: Farookh Hussain, Wenny Rahayu, and Makoto Takizawa
* Mye Sohn [email protected] Extended author information available on the last page of the article
World Wide Web
made image-sharing social media popular. Instagram, for example, had 90 million active users in 2013, but now has more than a billion active users, is positioning one of the most popular social media in the world [1]. Naturally, these kinds of social media are utilized by the users to establish and maintain social relationships with other people, as other text-based social media do. However, imagesharing social media are more focused on expressing and sharing users’ interests while text-based social media have been mainly used for conversations between users [2]. At this time, the user interests are defined as subjects or activities that the user pays attention to or likes to do. That is, it is clear that image-sharing social
Data Loading...
