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Domonkos Tikk

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Lessons learnt at building recommendation services at industry scale
Recommenders on video sharing portals - business and algorithmic aspects
Neighbor methods vs matrix factorization - case studies of real-life recommendations (Gravity LSRS2015 RECSYS 2015)
Challenges Encountered by Scaling Up Recommendation Services at Gravity R&D
Tartalomgazdagítás (content enrichment)
Idomaar crowd rec_reference_fw
Big Data in Online Classifieds
Context-aware similarities within the factorization framework - presented at CARR 2013
Slides from CARR 2012 WS - Enhancing Matrix Factorization Through Initialization for Implicit Feedback Databases
Fast ALS-Based Tensor Factorization for Context-Aware Recommendation from Implicit Feedback - slides of our ECML PKDD paper
Recommender Systems Evaluation: A 3D Benchmark - presented at RUE 2012 workshop at ACM Recsys 2012
From a toolkit of recommendation algorithms into a real business: the Gravity R&D experience (talk given at Recsys 2012)