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The social media revolution has changed the way that brands interact with consumers. Instead of spending their advertising budget on interstate billboards, more and more companies are choosing to partner with so-called Internet…

Social and Information Networks · Computer Science 2019-01-18 Taylor Sweet , Austin Rothwell , Xuan Luo

Analyzing following behavior is important in many applications. Following behavior may depend on the main intention of the follower. Users may either follow their friends or they may follow celebrities to know more about them. It is…

Social and Information Networks · Computer Science 2024-11-08 Hayato Oshimo , Shiori Hironaka , Mitsuo Yoshida , Kyoji Umemura

This article reviews the problem of degree of closeness and interaction level in a social network by ranking users based on similarity score. This similarity is measured on the basis of social, geographic, educational, professional, shared…

Social and Information Networks · Computer Science 2014-08-15 Vasavi Akhila Dabeeru

The conventional way of summarizing ratings or sentiment of reviews of customers on products of an online shopping brand are not sufficient to evaluate the financial health of that brand. It overlooks the social standing and influence of…

Social and Information Networks · Computer Science 2018-04-16 Supriyo Mandal , Abyayananda Maiti

The identification of strategic business partnerships can potentially provide competitive advantages for businesses; however, due to the dynamics and uncertainty present in business environments, this task could be challenging. To help…

Social and Information Networks · Computer Science 2019-06-07 Diego P. Tsutsumi , Amanda Fenerich , Thiago H. Silva

We propose a novel approach for the recommendation of possible customers (users) to advertisers (e.g., brands) based on two main aspects: (i) the comparison between On-line Social Network profiles, and (ii) neighborhood analysis on the…

Social and Information Networks · Computer Science 2020-08-06 Mariella Bonomo , Armando La Placa , Simona E. Rombo

Engaged costumers are a very import part of current social media marketing. Public figures and brands have to be very careful about what to post online. That is why the need for accurate strategies for anticipating the impact of a post…

Social and Information Networks · Computer Science 2019-09-24 Érika S. Rosas-Quezada , Gabriela Ramírez-de-la-Rosa , Esaú Villatoro-Tello

Social media platforms are popular venues for fashion brand marketing and advertising. With the introduction of native advertising, users don't have to endure banner ads that hold very little saliency and are unattractive. Using images and…

Social and Information Networks · Computer Science 2016-03-10 Lydia Manikonda , Ragav Venkatesan , Subbarao Kambhampati , Baoxin Li

The role of social media in fashion industry has been blooming as the years have continued on. In this work, we investigate sentiment analysis for fashion related posts in social media platforms. There are two main challenges of this task.…

Computation and Language · Computer Science 2021-11-16 Yifei Yuan , Wai Lam

With the proliferation of social activism online, brands face heightened pressure from consumers to publicly address these issues. Yet, the optimal brand response strategy (i.e., whether and how to respond) in these contexts remains…

General Economics · Economics 2023-09-08 Jingjing Li , Nicole Montgomery , Reza Mousavi

We propose a general framework for the recommendation of possible customers (users) to advertisers (e.g., brands) based on the comparison between On-line Social Network profiles. In particular, we represent both user and brand profiles as…

Social and Information Networks · Computer Science 2019-07-03 Mariella Bonomo , Gaspare Ciaccio , Andrea De Salve , Simona E. Rombo

In this paper, we propose a method for ranking fashion images to find the ones which might be liked by more people. We collect two new datasets from image sharing websites (Pinterest and Polyvore). We represent fashion images based on…

Computer Vision and Pattern Recognition · Computer Science 2015-11-24 Jinghua Wang , Abrar Abdul Nabi , Gang Wang , Chengde Wan , Tian-Tsong Ng

Social bookmarking and tagging has emerged a new era in user collaboration. Collaborative Tagging allows users to annotate content of their liking, which via the appropriate algorithms can render useful for the provision of product…

Social and Information Networks · Computer Science 2014-10-21 Georgios Pitsilis , Wei Wang

In this age of social media, people often look at what others are wearing. In particular, Instagram and Twitter influencers often provide images of themselves wearing different outfits and their followers are often inspired to buy similar…

Computer Vision and Pattern Recognition · Computer Science 2022-04-11 Son Tran , Ming Du , Sampath Chanda , R. Manmatha , Cj Taylor

The volume of discussions concerning brands within social media provides digital marketers with great opportunities for tracking and analyzing the feelings and views of consumers toward brands, products, influencers, services, and ad…

Social and Information Networks · Computer Science 2021-09-28 Ali Nikseresht , Mohammad Hosein Raeisi , Hossein Abbasian Mohammadi

Predicting the future popularity of online content is highly important in many applications. Preferential attachment phenomena is encountered in scale free networks.Under it's influece popular items get more popular thereby resulting in…

Information Retrieval · Computer Science 2016-04-06 Khushnood Abbas , Shang Mingsheng , Luo Xin

The aim of this paper is to examine how consumer perceptions of social media advertisements affect advertising value and brand awareness. With a rapid increase in the number of social media users over the last ten years, a new advertising…

General Economics · Economics 2022-09-29 Ibrahim Halil Efendioglu , Yakup Durmaz

In fashion e-commerce platforms, product discovery is one of the key components of a good user experience. There are numerous ways using which people find the products they desire. Similar product recommendations is one of the popular modes…

Information Retrieval · Computer Science 2018-07-02 Pankaj Agarwal , Sreekanth Vempati , Sumit Borar

While existing social networking services tend to connect people who know each other, people show a desire to also connect to yet unknown people in physical proximity. Existing research shows that people tend to connect to similar people.…

Social and Information Networks · Computer Science 2019-06-10 Felix Beierle

The pervasive use of social media provides massive data about individuals' online social activities and their social relations. The building block of most existing recommendation systems is the similarity between users with social…

Social and Information Networks · Computer Science 2018-03-19 Ghazaleh Beigi , Huan Liu
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