Matchmaking Technologies -(1) a Classification based on the recommendation approach Content-based recommendations Analyze the commonalities among the items the consumer has rated highly in the past. Then, only the items that have high similarity with the consumer's past preferences would get recommended Collaborative Recommendations Find the closest peers for each consumer, i. e. the ones with the most similar tastes and preferences. Then, only the items that are most liked by the peers would get recommended ■ Hybrid Approaches Combine collaborative and content -based methods This combination can be done in many different ways CEBT Center for E-Business Technology Copyright o 2008 by CEBTCopyright © 2008 by CEBT Matchmaking Technologies – (1)  Classification based on the recommendation approach ◼ Content-based Recommendations – Analyze the commonalities among the items the consumer has rated highly in the past. Then, only the items that have high similarity with the consumer’s past preferences would get recommended ◼ Collaborative Recommendations – Find the closest peers for each consumer, i.e., the ones with the most similar tastes and preferences. Then, only the items that are most liked by the peers would get recommended ◼ Hybrid Approaches – Combine collaborative and content-based methods – This combination can be done in many different ways Center for E-Business Technology