Title :
Inter-viewing the Amazon Web Salespersons: Trends, Complementarities and Competition
Author :
Vafopoulos, Michalis ; Theodoridis, Tomas ; Kontokostas, Dimitris
Author_Institution :
Math. Dept., Aristotle Univ. of Thessaloniki, Thessaloniki, Greece
fDate :
Sept. 30 2011-Oct. 2 2011
Abstract :
Recommendation systems are at the core of Web 2.0 acting like "virtual" salespersons that collaboratively filter and propose products to consumers of Web stores. This article investigates the Amazon co-purchase network, which is formed by every recommendation of the top selling products in all product categories. Analysis of motifs and communities has been employed in order to understand the basic patterns of aggregate consumption. Network analysis revealed that Amazon has evolved into a book-based multi-store with strong cross-category connections. In addition, co-purchase links not only manifest complementary consumption, but also switching among competitive products. As expected, top selling products are important in the co-purchase network, acting as hubs, authorities and brokers in consumer preferences. Unexpectedly, it was found that ostensibly competitive products are consumed as complements because of the existence of compatibility and compatible products that facilitate their joint consumption.
Keywords :
Internet; consumer behaviour; consumer products; purchasing; recommender systems; retail data processing; Amazon Web salesperson; Amazon copurchase network; Web 2.0; Web stores; book based multistore; competitive products; consumer preferences; cross-category connection; network analysis; recommendation systems; virtual salesperson; Algorithm design and analysis; Collaboration; Communities; Filtering; Internet; Security; Software; Amazon co-purchase network; item-based collaborative filtering; market basket analysis; subgraph analysis;
Conference_Titel :
Informatics (PCI), 2011 15th Panhellenic Conference on
Conference_Location :
Kastonia
Print_ISBN :
978-1-61284-962-1
DOI :
10.1109/PCI.2011.77