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EXISTING SYSTEM

PROPOSED SYSTEM

EXISTING CONCEPT:-

Collaborative topic regression (CTR) is one of these methods which has achieved promising performance by successfully integrating both feedback information and item content information.

More specifically, it is difficult for CF methods to achieve good performance in both item-oriented setting and user-oriented setting when the feedback matrix is sparse

PROPOSED CONCEPT: -

 Relational Collaborative Topic Regression (RCTR), which extends CTR by seamlessly integrating the user-item feedback information

We develop a novel hierarchical Bayesian model called Relational Collaborative Topic Regression (RCTR), which extends CTR by seamlessly integrating the user-item feedback information, item content information, and network structure among items into the same model.

EXISTING TECHNIQUE:-

Collaborative topic regression (CTR)

PROPOSED TECHNIQUE:-

Relational Collaborative Topic Regression (RCTR)

TECHNIQUE DEFINITION:-

 Collaborative topic regression (CTR) which jointly models the user-item feedback matrix and the item content information. CTR seamlessly incorporates topic modeling with CF to improve the performance and interpretability.

TECHNIQUE DEFINITION:-

 By extending CTR, RCTR seamlessly integrates the user-item feedback information, item content information and relational (network) structure among items into a principled hierarchical Bayesian model.

DRAWBACKS:-

Less accuracy

Less Performance

ADVANTAGES:-

High accuracy

High performance