Sentence examples for collaborative recommendation from inspiring English sources

In the collaborative recommendation approaches [17, 20, 30], the system recommends alternatives queries to the current user using his query and the query log containing previous user's queries.

It's not perfect - it thinks distorted guitar is the same as harpsichord, for example - but it is far more accurate than collaborative recommendation.

This was implemented using a user-based collaborative recommendation filter.

Collaborative recommendation has attracted various research works in recent years.

This will be achieved with the usage of more sophisticated user based contextual analysis and collaborative recommendation filtering.

Collaborative recommendation (CR) is a fundamental enabling technology for providing high-quality personalization services in various online and offline applications.

The conflict intensified such that several participating environmental groups, along with the Nez Perce Indian Tribe, withdrew from the state-level advisory group attempting to provide collaborative recommendations.

In this paper, we argue that the personalised combination of multi-criteria data together with the creation and application of trust models should not only refine the tourist profile, but also improve the quality of the collaborative recommendations.

16 Efficacy endpoints were analysed in accordance with the European League Against Rheumatism EULARR)/ACR collaborative recommendations for reporting RA disease activity in clinical trials 18 and included the mean change in DAS28-ESR, ACR20/50/70/90 response and ACR core components.

Collaborative filtering recommendation, content-based recommendation, and knowledge-based recommendation approaches are all based on a single information source and fail to satisfy users' diversified demand and effectively solve the cold start and data sparsity problems.

Herein, we extended neighborhood-based collaborative filtering recommendation methods to generate drug/ADR-based recommendation scores as classification features.