𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Collaborative filtering adapted to recommender systems of e-learning

✍ Scribed by J. Bobadilla; F. Serradilla; A. Hernando

Book ID
104035712
Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
468 KB
Volume
22
Category
Article
ISSN
0950-7051

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Empirical comparison of local structural
Empirical comparison of local structural similarity indices for collaborative-filtering-based recommender systems
✍ Qian-Ming Zhang; Ming-Sheng Shang; Wei Zeng; Yong Chen; Linyuan LΓΌ πŸ“‚ Article πŸ“… 2010 πŸ› Elsevier 🌐 English βš– 407 KB

Collaborative filtering is one of the most successful recommendation techniques, which can effectively predict the possible future likes of users based on their past preferences. The key problem of this method is how to define the similarity between users. A standard approach is using the correlatio

A hybrid trust-enhanced collaborative fi
A hybrid trust-enhanced collaborative filtering recommendation approach for personalized government-to-business e-services
✍ Qusai Shambour; Jie Lu πŸ“‚ Article πŸ“… 2011 πŸ› John Wiley and Sons 🌐 English βš– 683 KB

The information overload on the World Wide Web results in the underuse of some existing egovernment services within the business domain. Small-to-medium businesses (SMBs), in particular, are seeking "one-to-one" e-services from government in current highly competitive markets, and there is an impera