A team of researchers from Canada's University of Toronto, the Harvard Business School, and home goods online retailer Wayfair designed algorithms to engage more online shoppers by ranking items using a combination of popularity and variety.
The researchers concentrated on hedonic browsing, in which shoppers casually check out sites for attractive items, and retailers must "hook" them to continue browsing.
The algorithms help Wayfair's Website ascertain and continually tweak the set of product rankings for any given shopping event.
The programs hooked an average 5% to 30% more customers than an algorithm based on popularity alone across six events, and they can learn to formulate the best product mix without requiring massive volumes of data.
From University of Toronto Rotman School of Management (Canada)
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