Recommender System

Introduction to Recommender System   :

Introduction to recommender system, understanding recommender system, kinds of recommender systems: collaborative filtering recommender system, content-based recommender system, knowledge based recommender system, hybrid system, application and evaluation techniques, recommender and human computer interaction, recommender system as multi-disciplinary field,

emerging topics and challenges in recommender system.

Data Mining Techniques in Recommender System:

Introduction to Data mining techniques, data pre-processing, data mining techniques used in recommender system: similarity measures, sampling, Dimensionality reduction techniques, denoising, k – means clustering, support vector machine, ensemble methods, rule based classifiers, ANN, Bayesian Classifiers, association rule mining.

Content Based Recommender System:

Introduction to content-based Recommender System, High Level Architecture of Content-based Systems, advantages and drawbacks of Content-based Filtering, item representation, methods for learning user profiles, trends and future research: Role of user generated content in the Recommendation Process, beyond Over-specializion: Serendipity.

Neighbourhood based Recommender System:

Introduction to neighbourhood based recommender system, definition, overview of recommendation approaches, advantages of neighborhood based recommender system, neighborhood-based recommendation: user-based Rating Prediction, user- based classification, regression vs classification, item-based recommendation, comparison of user-based and item- based recommendation, components of Neighbourhood Methods: Rating normalization, similarity weight computation, neighbourhood selection.

Context-Aware and Social Tagging Recommender Systems:

Introduction to context aware recommender systems, definition of context, modelling contextual information in recommender system, obtaining contextual information, paradigms for Incorporating Context in Recommender Systems : contextual pre filtering, post filtering and modelling, case Study of Combining Multiple Pre-Filters: Algorithms and experimental results, additional issues related to context aware recommender systems, Introduction to Social tagging recommender systems: Folksonomy , the Traditional Recommender Systems Paradigm, multi- Mode recommendations, real World Social Tagging Recommender Systems, tag acquisition.