Collaborative filtering beyond the user-item matrix: A survey of the state of the art and future challenges
Over the past two decades, a large amount of research effort has been devoted to
developing algorithms that generate recommendations. The resulting research progress has …
developing algorithms that generate recommendations. The resulting research progress has …
A review of heuristics and metaheuristics for community detection in complex networks: Current usage, emerging development and future directions
Sensibly highlighting the hidden structures of many real-world networks has attracted
growing interest and triggered a vast array of techniques on what is called nowadays …
growing interest and triggered a vast array of techniques on what is called nowadays …
Pairwise interaction tensor factorization for personalized tag recommendation
S Rendle, L Schmidt-Thieme - Proceedings of the third ACM international …, 2010 - dl.acm.org
Tagging plays an important role in many recent websites. Recommender systems can help
to suggest a user the tags he might want to use for tagging a specific item. Factorization …
to suggest a user the tags he might want to use for tagging a specific item. Factorization …
Temporal recommendation on graphs via long-and short-term preference fusion
Accurately capturing user preferences over time is a great practical challenge in
recommender systems. Simple correlation over time is typically not meaningful, since users …
recommender systems. Simple correlation over time is typically not meaningful, since users …
Learning optimal ranking with tensor factorization for tag recommendation
Tag recommendation is the task of predicting a personalized list of tags for a user given an
item. This is important for many websites with tagging capabilities like last. fm or delicious. In …
item. This is important for many websites with tagging capabilities like last. fm or delicious. In …
[图书][B] An introduction to search engines and web navigation
M Levene - 2011 - books.google.com
This book is a second edition, updated and expanded to explain the technologies that help
us find information on the web. Search engines and web navigation tools have become …
us find information on the web. Search engines and web navigation tools have become …
The social bookmark and publication management system bibsonomy: A platform for evaluating and demonstrating Web 2.0 research
Social resource sharing systems are central elements of the Web 2.0 and use the same kind
of lightweight knowledge representation, called folksonomy. Their large user communities …
of lightweight knowledge representation, called folksonomy. Their large user communities …
Exploring user emotion in microblogs for music recommendation
Context-aware recommendation has become increasingly important and popular in recent
years when users are immersed in enormous music contents and have difficulty to make …
years when users are immersed in enormous music contents and have difficulty to make …
User-aware image tag refinement via ternary semantic analysis
Large-scale user contributed images with tags are easily available on photo sharing
websites. However, the noisy or incomplete correspondence between the images and tags …
websites. However, the noisy or incomplete correspondence between the images and tags …
Temporal effects on hashtag reuse in twitter: A cognitive-inspired hashtag recommendation approach
Hashtags have become a powerful tool in social platforms such as Twitter to categorize and
search for content, and to spread short messages across members of the social network. In …
search for content, and to spread short messages across members of the social network. In …