Leveraging Collaborative Tagging for Web Item Design
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Microsoft Research331 тыс
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14.12.22 – 5101:36:23Опубликовано 28 июля 2016, 22:48
The popularity of collaborative tagging sites has created new challenges and opportunities for designers of web items, such as electronics products, travel itineraries, popular blogs, etc. An increasing number of people are turning to online reviews and user-specified tags to choose from among competing items. This creates an opportunity for designers to build items that are likely to attract desirable tags when published. We consider a novel optimization problem: given a training dataset of existing items with their user-submitted tags, and a query set of desirable tags, design the k best new items expected to attract the maximum number of desirable tags. We present algorithms for solving this problem and present experimental results.
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