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Related papers: Segment Discovery: Enhancing E-commerce Targeting

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A common sales strategy involves having account executives (AEs) actively reach out and contact potential customers. However, not all contact attempts have a positive effect: some attempts do not change customer decisions, while others…

Machine Learning · Computer Science 2022-07-14 Naama Parush , Ohad Levinkron-Fisch , Hanan Shteingart , Amir Bar Sela , Amir Zilberman , Jake Klein

The analysis of sales information, is a vital step in designing an effective marketing strategy. This work proposes a novel approach to analyse the shopping behaviour of customers to identify their purchase patterns. An extended version of…

Computers and Society · Computer Science 2025-03-04 Earnest Paul Ijjina , Aniruddha Srinivas Joshi , Goutham Kanahasabai , Keerthi Priyanka P

This paper studies ranking policies in a stylized trial-offer marketplace model, in which a single firm offers products and has consumers with heterogeneous preferences. Consumer trials are influenced by past purchases and the ranking of…

Social and Information Networks · Computer Science 2021-02-11 Franco Berbeglia , Gerardo Berbeglia , Pascal Van Hentenryck

Customer purchasing behavior analysis plays a key role in developing insightful communication strategies between online vendors and their customers. To support the recent increase in online shopping trends, in this work, we present a…

Machine Learning · Computer Science 2021-02-03 Sohini Roychowdhury , Ebrahim Alareqi , Wenxi Li

The web page usage mining plays a vital role in enriching the page's content and structure based on the feedbacks received from the user's interactions with the page. This paper proposes a model for micro-managing the tracking activities by…

Information Retrieval · Computer Science 2012-03-13 K. S. Kuppusamy , G. Aghila

Modern business is rushing toward e-commerce. If the transition is done properly, it enables better management, new services, lower transaction costs and better customer relations. Success depends on skilled information technologists, among…

Statistics Theory · Mathematics 2007-06-13 David L. Banks , Yasmin H. Said

We consider the revenue maximization problem for an online retailer who plans to display in order a set of products differing in their prices and qualities. Consumers have attention spans, i.e., the maximum number of products they are…

Machine Learning · Computer Science 2025-11-11 Ningyuan Chen , Anran Li , Shuoguang Yang

Contemporary ways of doing business are heavily dependent on the e-Commerce/e-Business paradigm. The highest priority of an e-Commerce Web site's management is to assure pertinent Quality-of-Service (QoS) levels of their Web services…

Computers and Society · Computer Science 2014-07-16 Ilija Hristoski , Pece Mitrevski

With the emergence of new online channels and information technology, digital advertising tends to substitute more and more to traditional advertising by offering the opportunity to companies to target the consumers/users that are really…

Optimization and Control · Mathematics 2021-11-17 Médéric Motte , Huyên Pham

Modern e-commerce platforms offer vast product selections, making it difficult for customers to find items that they like and that are relevant to their current session intent. This is why it is key for e-commerce platforms to have near…

Recommendation systems are pervasive in the digital economy. An important assumption in many deployed systems is that user consumption reflects user preferences in a static sense: users consume the content they like with no other…

Computers and Society · Computer Science 2023-02-14 Andreas Haupt , Dylan Hadfield-Menell , Chara Podimata

Promotions are commonly used by e-commerce merchants to boost sales. The efficacy of different promotion strategies can help sellers adapt their offering to customer demand in order to survive and thrive. Current approaches to designing…

Human-Computer Interaction · Computer Science 2022-08-03 Chenyang Zhang , Xiyuan Wang , Chuyi Zhao , Yijing Ren , Tianyu Zhang , Zhenhui Peng , Xiaomeng Fan , Quan Li

E-commerce search optimization has evolved to include a wider range of metrics that reflect user engagement and business objectives. Modern search frameworks now incorporate advanced quality features, such as sales counts and document-query…

Information Retrieval · Computer Science 2025-09-03 Jungbae Park , Heonseok Jang

The trend towards mobile devices usage has put more than ever the Web as a ubiquitous platform where users perform all kind of tasks. In some cases, users access the Web with 'native' mobile applications developed for well-known sites, such…

Human-Computer Interaction · Computer Science 2019-06-05 Gabriela Bosetti , Sergio Firmenich , Silvia Gordillo , Gustavo Rossi , Marco Winckler

Online advertising in E-commerce platforms provides sellers an opportunity to achieve potential audiences with different target goals. Ad serving systems (like display and search advertising systems) that assign ads to pages should satisfy…

Machine Learning · Computer Science 2019-10-09 Chao Wei , Weiru Zhang , Shengjie Sun , Fei Li , Xiaonan Meng , Yi Hu , Hao Wang

One of missions for personalization systems and recommender systems is to show content items according to users' personal interests. In order to achieve such goal, these systems are learning user interests over time and trying to present…

Information Retrieval · Computer Science 2016-04-13 Liangjie Hong , Adnan Boz

Recommender systems are vulnerable to injective attacks, which inject limited fake users into the platforms to manipulate the exposure of target items to all users. In this work, we identify that conventional injective attackers overlook…

Information Retrieval · Computer Science 2024-03-06 Wenjie Wang , Changsheng Wang , Fuli Feng , Wentao Shi , Daizong Ding , Tat-Seng Chua

Personalizing user experience with high-quality recommendations based on user activity is vital for e-commerce platforms. This is particularly important in scenarios where the user's intent is not explicit, such as on the homepage.…

Information Retrieval · Computer Science 2023-10-10 Kirill Khrylchenko , Alexander Fritzler

Marketing is one of the high-cost activities for any online platform. With the increase in the number of customers, it is crucial to understand customers based on their dynamic behaviors to design effective marketing strategies. Customer…

Machine Learning · Computer Science 2024-04-29 Anurag Kumar Pandey , Anil Goyal , Nikhil Sikka

We address the problem of personalization in the context of eCommerce search. Specifically, we develop personalization ranking features that use in-session context to augment a generic ranker optimized for conversion and relevance. We use a…

Information Retrieval · Computer Science 2019-05-02 Grigor Aslanyan , Aritra Mandal , Prathyusha Senthil Kumar , Amit Jaiswal , Manojkumar Rangasamy Kannadasan
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