The nature and evolution of online food preferences

Food is a central element of humans’ life, and food preferences are amongst others manifestations of social, cultural and economic forces that influence the way we view, prepare and consume food. Historically, data for studies of food preferences stems from consumer panels which continuously capture food consumption and preference patterns from individuals and households. In this work we look at a new source of data, i.e., server log data from a large recipe platform on the World Wide Web, and explore its usefulness for understanding online food preferences. The main findings of this work are: (i) recipe preferences are partly driven by ingredients, (ii) recipe preference distributions exhibit more regional differences than ingredient preference distributions, and (iii) weekday preferences are clearly distinct from weekend preferences.

[1]  Yong-Yeol Ahn,et al.  Analyzing the Video Popularity Characteristics of Large-Scale User Generated Content Systems , 2009, IEEE/ACM Transactions on Networking.

[2]  Charles A. Sutton,et al.  Word storms: multiples of word clouds for visual comparison of documents , 2013, WWW.

[3]  Filip Radlinski,et al.  Inferring and using location metadata to personalize web search , 2011, SIGIR.

[4]  Manuel Calvo,et al.  Migration et alimentation , 1982, Cahiers de sociologie économique et culturelle.

[5]  D. Sornette Multiplicative processes and power laws , 1997, cond-mat/9708231.

[6]  Yong-Yeol Ahn,et al.  Geography and Similarity of Regional Cuisines in China , 2013, PloS one.

[7]  Ryen W. White,et al.  From cookies to cooks: insights on dietary patterns via analysis of web usage logs , 2013, WWW.

[8]  Alistair Moffat,et al.  A similarity measure for indefinite rankings , 2010, TOIS.

[9]  Pedro Zambianchi,et al.  The non-equilibrium nature of culinary evolution , 2008, 0802.4393.

[10]  Dimitrios Gunopulos,et al.  Identifying similarities, periodicities and bursts for online search queries , 2004, SIGMOD '04.

[11]  D. Sornette,et al.  Convergent Multiplicative Processes Repelled from Zero: Power Laws and Truncated Power Laws , 1996, cond-mat/9609074.

[12]  P. Sherman,et al.  Darwinian Gastronomy: Why We Use Spices , 1999 .

[13]  C. Fischler,et al.  Food, self and identity , 1988 .

[14]  Michael Mitzenmacher,et al.  A Brief History of Generative Models for Power Law and Lognormal Distributions , 2004, Internet Math..

[15]  Dietmar Plenz,et al.  powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions , 2013, PloS one.

[16]  John Riedl,et al.  tagging, communities, vocabulary, evolution , 2006, CSCW '06.

[17]  G. Yule,et al.  A Mathematical Theory of Evolution Based on the Conclusions of Dr. J. C. Willis, F.R.S. , 1925 .

[18]  Mark E. J. Newman,et al.  Power-Law Distributions in Empirical Data , 2007, SIAM Rev..

[19]  Larry Peterson,et al.  Proceedings of the nineteenth ACM symposium on Operating systems principles , 2003, SOSP 2003.

[20]  Peter Nijkamp,et al.  Accessibility of Cities in the Digital Economy , 2004, cond-mat/0412004.

[21]  Markus Strohmaier,et al.  Semantic stability in social tagging streams , 2013, WWW.

[22]  Tang,et al.  Self-organized criticality. , 1988, Physical review. A, General physics.

[23]  H E Stanley,et al.  Classes of small-world networks. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[24]  Krishna P. Gummadi,et al.  Measurement, modeling, and analysis of a peer-to-peer file-sharing workload , 2003, SOSP '03.

[25]  Hans-Georg Prester Consumer panel research of GfK , 2001 .

[26]  Albert-László Barabási,et al.  Flavor network and the principles of food pairing , 2011, Scientific reports.

[27]  Michael McKernan,et al.  Everyone Eats: Understanding Food and Culture , 2008 .

[28]  Diva Sanjur,et al.  Social and cultural perspectives in nutrition , 1982 .

[29]  Lada A. Adamic,et al.  Recipe recommendation using ingredient networks , 2011, WebSci '12.

[30]  Wenfei Fan,et al.  Incremental evaluation of schema-directed XML publishing , 2004, SIGMOD '04.

[31]  Lada A. Adamic,et al.  Power-Law Distribution of the World Wide Web , 2000, Science.

[32]  G. Yule,et al.  A Mathematical Theory of Evolution, Based on the Conclusions of Dr. J. C. Willis, F.R.S. , 1925 .

[33]  Alexandra W. Logue,et al.  The psychology of eating and drinking , 1986 .

[34]  M. Harris,et al.  Food and evolution : toward a theory of human food habits , 1987 .

[35]  Bill McKelvey,et al.  From Gaussian to Paretian Thinking: Causes and Implications of Power Laws in Organizations , 2009 .

[36]  Jeremy Ginsberg,et al.  Detecting influenza epidemics using search engine query data , 2009, Nature.

[37]  Stefano Mossa,et al.  Truncation of power law behavior in "scale-free" network models due to information filtering. , 2002, Physical review letters.

[38]  M. Newman Power laws, Pareto distributions and Zipf's law , 2005 .

[39]  A. Drewnowski,et al.  Taste preferences and food intake. , 1997, Annual review of nutrition.

[40]  I. Kiefer,et al.  Ernährungsverhalten und Einstellung zum Essen der ÖsterreicherInnen , 2000 .