Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This chapter gives an overview of aggregation functions and their use in recommender systems. The classical ighted average lies at the heart of various recommendation mechanisms, often being employed to combine item feature scores or predict ratings from similar users. Some improvements to accuracy and robustness can be achieved by aggregating different measures of similarity or using an average of recommendations obtained through different techniques. Advances made in the theory of aggregation functions therefore have the potential to deliver increased performance to many recommender systems.  provide definitions of some important families and properties, sophisticated methods of construction, and various examples of aggregation functions in the domain of recommender systems.
['Gleb Beliakov', 'Tomasa Calvo', 'Simon James']
I am writing a research paper on a idea Aggregation Functions for Recommender Systems
[{"from": "human", "value": "I am writing a research paper on a idea Aggregation Functions for Recommender Systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This chapter gives an overview of aggregation functions and their use in recommender systems. The classical ighted average lies at the heart of various recommendation mechanisms, often being employed to combine item feature scores or predict ratings from similar users. Some improvements to accuracy and robustness can be achieved by aggregating different measures of similarity or using an average of recommendations obtained through different techniques. Advances made in the theory of aggregation functions therefore have the potential to deliver increased performance to many recommender systems.  provide definitions of some important families and properties, sophisticated methods of construction, and various examples of aggregation functions in the domain of recommender systems."}]