Recommender system for board games

Since the beginning of the twenty-first century, renaissance of interest in board games can be observed. As a matter of fact, share of board games within the entertainment market, it is growing constantly. For instance, local clubs where board games are played, as well as shops dedicated to this hobby materialize across Poland (but the trend is global). Since this hobby is relatively new, for example in comparison with watching movies, there are no applications that would recommend games to players. Here, the natural example could be the FilmWeb site, which recommends movies. At the same time, demand for good board game recommendations exists, which is illustrated by the popularity of game reviewers. Moreover, a huge database is available within the BoardGameGeek.com site, which contains information about games, including user-generated reviews. Hence, the idea to fill the existing gap, and to create a board game recommending system. In this note we report on the results of out work in this direction.

[1]  E. Thorndike A constant error in psychological ratings. , 1920 .

[2]  Maria Ganzha,et al.  Introducing Collaborative Filtering into an Agent-Based Travel Support System , 2007, 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops.

[3]  Christian Hennig,et al.  Recovering the number of clusters in data sets with noise features using feature rescaling factors , 2015, Inf. Sci..

[4]  David J. Ketchen,et al.  THE APPLICATION OF CLUSTER ANALYSIS IN STRATEGIC MANAGEMENT RESEARCH: AN ANALYSIS AND CRITIQUE , 1996 .

[5]  Marcin Paprzycki,et al.  Representing users in a travel support system , 2005, 5th International Conference on Intelligent Systems Design and Applications (ISDA'05).

[6]  Maria Ganzha,et al.  Considering Resource Management in Agent-Based Virtual Organization , 2009, Intelligent Agents in the Evolution of Web and Applications.