Multistakeholder recommendation: Survey and research directions

H Abdollahpouri, G Adomavicius, R Burke, I Guy… - User Modeling and User …, 2020 - Springer
Recommender systems provide personalized information access to users of Internet
services from social networks to e-commerce to media and entertainment. As is appropriate …

[HTML][HTML] A systematic review of value-aware recommender systems

A De Biasio, A Montagna, F Aiolli, N Navarin - Expert Systems with …, 2023 - Elsevier
Research on recommender systems (RSs) has traditionally focused on the design of
systems capable of suggesting items of interest for users. However, often the most important …

Micro behaviors: A new perspective in e-commerce recommender systems

M Zhou, Z Ding, J Tang, D Yin - … conference on web search and data …, 2018 - dl.acm.org
The explosive popularity of e-commerce sites has reshaped users» shopping habits and an
increasing number of users prefer to spend more time shopping online. This evolution …

Competing for recommendations: The strategic impact of personalized product recommendations in online marketplaces

B Zhou, T Zou - Marketing Science, 2023 - pubsonline.informs.org
We study how an online marketplace's personalized product recommendations and its
consumer profiling accuracy affect third-party sellers' competition and the market outcomes …

[HTML][HTML] Economic recommender systems–a systematic review

A De Biasio, N Navarin, D Jannach - Electronic Commerce Research and …, 2024 - Elsevier
Many of today's online services provide personalized recommendations to their users. Such
recommendations are typically designed to serve certain user needs, eg, to quickly find …

Hierarchically modeling micro and macro behaviors via multi-task learning for conversion rate prediction

H Wen, J Zhang, F Lv, W Bao, T Wang… - Proceedings of the 44th …, 2021 - dl.acm.org
Conversion Rate (CVR) prediction in modern industrial e-commerce platforms is becoming
increasingly important, which directly contributes to the final revenue. In order to address the …

Price and profit awareness in recommender systems

D Jannach, G Adomavicius - arXiv preprint arXiv:1707.08029, 2017 - arxiv.org
Academic research in the field of recommender systems mainly focuses on the problem of
maximizing the users' utility by trying to identify the most relevant items for each user …

Beyond personalization: Research directions in multistakeholder recommendation

H Abdollahpouri, G Adomavicius, R Burke, I Guy… - arXiv preprint arXiv …, 2019 - arxiv.org
Recommender systems are personalized information access applications; they are
ubiquitous in today's online environment, and effective at finding items that meet user needs …

Conflict-aware weighted bipartite b-matching and its application to e-commerce

C Chen, L Zheng, V Srinivasan… - … on Knowledge and …, 2016 - ieeexplore.ieee.org
The weighted bipartite b-matching problem (WBM) plays a significant role in many real-
world applications, including resource allocation, scheduling, Internet advertising, and E …

[PDF][PDF] Towards More Impactful Recommender Systems Research.

D Jannach, OS Shalom, JA Konstan - ImpactRS@ RecSys, 2019 - ceur-ws.org
ABSTRACT A number of ways exist in which a recommender system can have an impact on
users and business. However, only a small number of them can be reasonably addressed …