Category Archives: Personalization

Diversity in Personalization with Attribute Diffusion

One of the nagging problems in  personalized recommendation systems is crowding of items with same attribute values in the recommendation list. For example, if you happen to like certain artiste, the songs by the same artiste will tend to flood recommended … Continue reading

Posted in Big Data, Data Science, Hadoop and Map Reduce, Personalization, Recommendation Engine | Tagged , | Leave a comment

Positive Feedback Driven Recommendation Rank Reordering

The basic recommendation output consisting of the tuple (user, item, predicted rating), is easy to obtain from any Collaborative Filtering (CF) based Recommendation and Personalization engine, including sifarish. It’s been reported that there is a bigger return for the quality of … Continue reading

Posted in Big Data, Collaborative Filtering, Hadoop and Map Reduce, Personalization, Recommendation Engine | Tagged , , | 1 Comment

Novelty in Personalization

We all have the unfortunate  experience of being pigeon holed by Personalization and Recommendation engines. When recommendation are based on our past behavior and there is very little  opportunity to explore. But our past actions are not always good predictors for … Continue reading

Posted in Big Data, Data Mining, Data Science, Hadoop and Map Reduce, Personalization, Recommendation Engine | Tagged , | 1 Comment