Hybrid Biased k-NN to Predict Movie Tweets Popularity
Ladislav Peška, Peter Vojtáš · 2014
paper we describe approach of our SemWexMFF group to the RecSys Challenge 2014: User Engagement as Evaluation. Target of the challenge was to predict level of use r engagement on tweets generated automatically from IMDB. During experiments we have tested several state-of-the-art prediction techniques and proposed a variant of item based k-NN algorithm, which better reflects user engagement and nature of the movie do main content- based attributes. Our final solution (placed in the midfield of the challenge leaderboard) is an aggregation of several runs of this algorithm. In the paper we will further describe da taset used, data filtration, algorithm details and settings as well as decisions made during the challenge and dead ends we explored. Categories and Subject Descriptors