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Customer service is the lifeblood of any business. Excellent customer service not only generates return business but also creates new customers. Looking at the demanding market to provide a 24/7 service to customers, many organisations are…

Emerging short-video platforms like TikTok, Instagram Reels, and ShareChat present unique challenges for recommender systems, primarily originating from a continuous stream of new content. ShareChat alone receives approximately 2 million…

Information Retrieval · Computer Science 2024-05-29 Srijan Saket , Olivier Jeunen , Md. Danish Kalim

As personalized recommendation algorithms become integral to social media platforms, users are increasingly aware of their ability to influence recommendation content. However, limited research has explored how users provide feedback…

Human-Computer Interaction · Computer Science 2025-02-17 Wenqi Li , Jui-Ching Kuo , Manyu Sheng , Pengyi Zhang , Qunfang Wu

Automated recommendations can nowadays be found on many e-commerce platforms, and such recommendations can create substantial value for consumers and providers. Often, however, not all recommendable items have the same profit margin, and…

Social and Information Networks · Computer Science 2022-09-12 Nada Ghanem , Stephan Leitner , Dietmar Jannach

Recommenders personalize the web content by typically using collaborative filtering to relate users (or items) based on explicit feedback, e.g., ratings. The difficulty of collecting this feedback has recently motivated to consider implicit…

Information Retrieval · Computer Science 2017-12-11 Rachid Guerraoui , Erwan Le Merrer , Rhicheek Patra , Jean-Ronan Vigouroux

Digital gift-giving has become a key means of maintaining social relationships, but most existing research has focused on gifting within global e-commerce or social media platforms. The emergence of messenger-based gifting in East Asia,…

Human-Computer Interaction · Computer Science 2025-09-23 YeEun Lee , Dakyeom Ahn , JungYu Kwon , SeungJi Lee , Hajin Lim

In business and marketing, analyzing the reasons behind buying is a fundamental step towards understanding consumer behaviors, shaping business strategies, and predicting market outcomes. Prior research on purchase reason has relied on…

Information Retrieval · Computer Science 2024-11-19 Tao Chen , Siqi Zuo , Cheng Li , Mingyang Zhang , Qiaozhu Mei , Michael Bendersky

Effective Communication for marketing is a vital field in business organizations, which is used to convey the details about their products and services to the market segments and subsequently to build long lasting customer relationships.…

Other Computer Science · Computer Science 2012-06-05 T. R. Gopalakrishnan Nair , Kumarashvari Subramaniam

In recent years online advertising has become increasingly ubiquitous and effective. Advertisements shown to visitors fund sites and apps that publish digital content, manage social networks, and operate e-mail services. Given such large…

Artificial Intelligence · Computer Science 2016-06-24 Mihajlo Grbovic , Vladan Radosavljevic , Nemanja Djuric , Narayan Bhamidipati , Jaikit Savla , Varun Bhagwan , Doug Sharp

Selfies have become increasingly fashionable in the social media era. People are willing to share their selfies in various social media platforms such as Facebook, Instagram and Flicker. The popularity of selfie have caught researchers'…

Social and Information Networks · Computer Science 2017-02-28 Tianlang Chen , Yuxiao Chen , Jiebo Luo

A central challenge of social computing research is to enable people to communicate expressively with each other remotely. Augmented reality has great promise for expressive communication since it enables communication beyond texts and…

Human-Computer Interaction · Computer Science 2022-12-01 Kyungjun Lee , Hong Li , Muhammad Rizky Wellyanto , Yu Jiang Tham , Andrés Monroy-Hernández , Fannie Liu , Brian A. Smith , Rajan Vaish

Recently, interactive recommender systems are becoming increasingly popular. The insight is that, with the interaction between users and the system, (1) users can actively intervene the recommendation results rather than passively receive…

Information Retrieval · Computer Science 2019-07-04 Yu Zhu , Yu Gong , Qingwen Liu , Yingcai Ma , Wenwu Ou , Junxiong Zhu , Beidou Wang , Ziyu Guan , Deng Cai

Item-based Collaborative Filtering(short for ICF) has been widely adopted in recommender systems in industry, owing to its strength in user interest modeling and ease in online personalization. By constructing a user's profile with the…

Information Retrieval · Computer Science 2018-11-13 Feng Xue , Xiangnan He , Xiang Wang , Jiandong Xu , Kai Liu , Richang Hong

Influence Maximization (IM) is a classical combinatorial optimization problem, which can be widely used in mobile networks, social computing, and recommendation systems. It aims at selecting a small number of users such that maximizing the…

Social and Information Networks · Computer Science 2023-06-16 Yandi Li , Haobo Gao , Yunxuan Gao , Jianxiong Guo , Weili Wu

Context as the dynamic information describing the situation of items and users and affecting the users decision process is essential to be used by recommender systems in mobile commerce to guarantee the quality of recommendation. This paper…

Computers and Society · Computer Science 2009-08-10 Maryam Hosseini-Pozveh , Mohamadali Nematbakhsh , Naser Movahhedinia

Social marketing is becoming increasingly important in contemporary business. Central to social marketing is quantifying how consumers choose between alternatives and how they influence each other. This work considers a new but simple…

Social and Information Networks · Computer Science 2014-05-05 Jeremy Chen

The rapid development of technology has drastically changed the way consumers do their shopping. The volume of global online commerce has significantly been increasing partly due to the recent COVID-19 crisis that has accelerated the…

General Economics · Economics 2023-01-04 Szabolcs Nagy , Noemi Hajdu

Many foreign companies see social media as a low cost marketing space for entering the vast Chinese market. This is fraught with complexity, requiring an understanding of social media behaviour, social media marketing, and the Chinese…

Computers and Society · Computer Science 2016-06-07 Mary Tate , Hongzhi Gao , Hongxia Zhang , David Johnstone

The recent proliferation of Electronic Commerce (E-commerce) has been further escalated by multifaceted emerging payment solutions such as cryptocurrencies, mobile, peer-to-peer (P2P) and social media payment platforms. While these…

Computers and Society · Computer Science 2020-02-14 Mahdi H. Miraz , Marie Haikel-Elsabeh

The emergence and wide-spread use of online social networks has led to a dramatic increase on the availability of social activity data. Importantly, this data can be exploited to investigate, at a microscopic level, some of the problems…

Social and Information Networks · Computer Science 2015-06-12 Isabel Valera , Manuel Gomez-Rodriguez