Context-aware recommender systems

G Adomavicius, A Tuzhilin - Recommender systems handbook, 2010 - Springer
The importance of contextual information has been recognized by researchers and
practitioners in many disciplines, including e-commerce personalization, information …

Context-aware recommender systems: From foundations to recent developments

G Adomavicius, K Bauman, A Tuzhilin… - Recommender systems …, 2021 - Springer
The importance of contextual information has been recognized by researchers and
practitioners in many disciplines, including e-commerce, personalization, information …

Respecting context to protect privacy: Why meaning matters

H Nissenbaum - Science and engineering ethics, 2018 - Springer
Abstract In February 2012, the Obama White House endorsed a Privacy Bill of Rights,
comprising seven principles. The third,“Respect for Context,” is explained as the expectation …

[图书][B] Task intelligence for search and recommendation

C Shah, RW White - 2022 - books.google.com
While great strides have been made in the field of search and recommendation, there are
still challenges and opportunities to address information access issues that involve solving …

Behavior analysis for electronic commerce trading systems: A survey

P Zhao, Z Ding, M Wang, R Cao - IEEE Access, 2019 - ieeexplore.ieee.org
With the rapid development of the Internet and the continuous progress of computer science
and technology, Internet-based online trading has developed rapidly and improved the …

Predicting current user intent with contextual markov models

J Kiseleva, HT Lam, M Pechenizkiy… - 2013 IEEE 13th …, 2013 - ieeexplore.ieee.org
In many web information systems like e-shops and information portals predictive modeling is
used to understand user intentions based on their browsing behavior. User behavior is …

Grounded task prioritization with context-aware sequential ranking

C Zhang, J Kiseleva, SK Jauhar, RW White - ACM Transactions on …, 2021 - dl.acm.org
People rely on task management applications and digital assistants to capture and track
their tasks, and help with executing them. The burden of organizing and scheduling time for …

Evaluating personal assistants on mobile devices

J Kiseleva, M de Rijke - arXiv preprint arXiv:1706.04524, 2017 - arxiv.org
The iPhone was introduced only a decade ago in 2007 but has fundamentally changed the
way we interact with online information. Mobile devices differ radically from classic …

Beyond movie recommendations: Solving the continuous cold start problem in e-commercerecommendations

J Kiseleva, A Tuzhilin, J Kamps, MJI Mueller… - arXiv preprint arXiv …, 2016 - arxiv.org
Many e-commerce websites use recommender systems or personalized rankers to
personalize search results based on their previous interactions. However, a large fraction of …

Context mining and integration into predictive web analytics

J Kiseleva - Proceedings of the 22nd International Conference on …, 2013 - dl.acm.org
Predictive Web Analytics is aimed at understanding behavioural patterns of users of various
web-based applications: e-commerce, ubiquitous and mobile computing, and computational …