Diversification in Wikipedia Enriched Advertisement Recommendation for Microblogs

Recommendation diversification, which is the action of suggesting dissimilar products, is an emerging and important issue in recommendation systems. Recent studies show that recommending diverse products increases customer satisfaction. This is valid for advertisement recommendation as well. In this study, we investigate the diversification performance of a new advertisement recommendation algorithm. In the algorithm, sentiment enhanced user profiling is further enhanced by using followee/follower property of microblogs. In advertisement matching, Wikipedia enrichment strategy is used. Evaluation on a set of real world data shows that this new algorithm has better diversification performance compared to generic keyword based matching strategy and a previous study that uses Wikipedia enrichment strategy