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Actionable Gamification
Learn all about implementing a good gamification design into your products, workplace, and lifestyle Key FeaturesExplore what makes a game fun and engagingGain insight into the Octalysis Framework and its applicationsDiscover the potential of the Core Drives of gamification through real-world scenariosBook Description Effective gamification is a combination of game design, game dynamics, user experience, and ROI-driving business implementations. This book explores the interplay between these disciplines and captures the core principles that contribute to a good gamification design. The book starts with an overview of the Octalysis Framework and the 8 Core Drives that can be used to build str...
Advances in Kaiyu Studies
This book is the first systematic exposition of advances in Kaiyu studies carried out by the author and his colleagues in Japan and other parts of Asia. Consumer shop-around behavior is referred to as Kaiyu in Japanese, a term widely used in several fields such as city planning, marketing, real estate, tourism, and regional policy. The book demonstrates how Kaiyu research has evolved from the original idea to the present state and envisages prospective Kaiyu studies in the age of big data and the Internet of Things (IoT). The distinguishing feature of their research is that Kaiyu is regarded as consumers’ simultaneous decisions sequentially made while undertaking their shop-arounds as to w...
Pien Chih-Lin
None
First Lessons in Reading and Writing the Hakka Colloquial
Teaching Hakka language for foreign missionaries.
Predicting movie ratings and recommender systems
A 195-page monograph by a top-1% Netflix Prize contestant. Learn about the famous machine learning competition. Improve your machine learning skills. Learn how to build recommender systems. What's inside:introduction to predictive modeling,a comprehensive summary of the Netflix Prize, the most known machine learning competition, with a $1M prize,detailed description of a top-50 Netflix Prize solution predicting movie ratings,summary of the most important methods published - RMSE's from different papers listed and grouped in one place,detailed analysis of matrix factorizations / regularized SVD,how to interpret the factorization results - new, most informative movie genres,how to adapt the algorithms developed for the Netflix Prize to calculate good quality personalized recommendations,dealing with the cold-start: simple content-based augmentation,description of two rating-based recommender systems,commentary on everything: novel and unique insights, know-how from over 9 years of practicing and analysing predictive modeling.
