Not So Naive Bayes: Aggregating One-Dependence Estimators
Machine Learning
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Many photo-taking scenarios have emotional triggers such as happiness, joy, or in general a "good feeling". In this paper we postulate that if a photo was taken to preserve a good feeling, it will most likely trigger a good feeling when re-visiting the photo later on. We present an approach to classify photos and decide automatically whether they have been taken to preserve a good feeling or not. We employ an annotated data set to create a model and apply this model to enhance classical image search. The result is a novel search approach, demonstrated by a proof-of-concept application capable of performing keyword-based search and filtering out the results that are considered unlikely to convey a good feeling to the viewer.