A recommender system based on tag and time information for social tagging systems
N Zheng, Q Li - Expert systems with Applications, 2011 - Elsevier
Recently, social tagging has become increasingly prevalent on the Internet which provides
an effective way for users to organize, manage, share and search for various kinds of …
an effective way for users to organize, manage, share and search for various kinds of …
Folksonomy‐Based Recommender Systems: A State‐of‐the‐Art Review
D Godoy, A Corbellini - International Journal of Intelligent …, 2016 - Wiley Online Library
Collaborative tagging systems, also known as folksonomies, have grown in popularity over
the Web on account of their simplicity to organize several types of content (eg, Web pages …
the Web on account of their simplicity to organize several types of content (eg, Web pages …
Social ranking: uncovering relevant content using tag-based recommender systems
V Zanardi, L Capra - Proceedings of the 2008 ACM conference on …, 2008 - dl.acm.org
Social (or folksonomic) tagging has become a very popular way to describe, categorise,
search, discover and navigate content within Web 2.0 websites. Unlike taxonomies, which …
search, discover and navigate content within Web 2.0 websites. Unlike taxonomies, which …
Decremental single-source shortest paths on undirected graphs in near-linear total update time
M Henzinger, S Krinninger, D Nanongkai - Journal of the ACM (JACM), 2018 - dl.acm.org
In the decremental single-source shortest paths (SSSP) problem, we want to maintain the
distances between a given source node s and every other node in an n-node m-edge graph …
distances between a given source node s and every other node in an n-node m-edge graph …
Collaborative user modeling with user-generated tags for social recommender systems
HN Kim, A Alkhaldi, A El Saddik, GS Jo - Expert Systems with Applications, 2011 - Elsevier
With the popularity of social media services, the sheer amount of content is increasing
exponentially on the Social Web that leads to attract considerable attention to recommender …
exponentially on the Social Web that leads to attract considerable attention to recommender …
Big data solutions for predicting risk-of-readmission for congestive heart failure patients
K Zolfaghar, N Meadem, A Teredesai… - … conference on big …, 2013 - ieeexplore.ieee.org
Developing holistic predictive modeling solutions for risk prediction is extremely challenging
in healthcare informatics. Risk prediction involves integration of clinical factors with socio …
in healthcare informatics. Risk prediction involves integration of clinical factors with socio …
Recommendation-based editor for business process modeling
To ensure proper and efficient modeling of business processes, it is important to support
users of process editors adequately. With only minimal modeling support, the productivity of …
users of process editors adequately. With only minimal modeling support, the productivity of …
Does reviewer recommendation help developers?
V Kovalenko, N Tintarev, E Pasynkov… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Selecting reviewers for code changes is a critical step for an efficient code review process.
Recent studies propose automated reviewer recommendation algorithms to support …
Recent studies propose automated reviewer recommendation algorithms to support …
Tag-based collaborative filtering recommendation in personal learning environments
The personal learning environment (PLE) concept offers a learner-centric view of learning
and suggests a shift from knowledge-push to knowledge-pull approach to learning. One …
and suggests a shift from knowledge-push to knowledge-pull approach to learning. One …
[图书][B] Music recommendation and discovery in the long tail
Ò Celma Herrada - 2009 - tdx.cat
Music consumption is biased towards a few popular artists. For instance, in 2007 only 1% of
all digital tracks accounted for 80% of all sales. Similarly, 1,000 albums accounted for 50 …
all digital tracks accounted for 80% of all sales. Similarly, 1,000 albums accounted for 50 …