Profile Diversity for Query Processing using User Recommendations

摘要

More than 90% of the queries submitted to content sharing platforms, such as Flickr, are vague, i.e. only contain a few keywords, thus complicating the task of effectively returning interesting results. To overcome this limitation, many platforms use recommendation strategies to filter the results. But, recommendations usually tend to return highly redundant items. Content diversification has been studied as a solution to overcome this problem. However, it may suffer from at least two limitations: poor content description and semantic ambiguity.