Analyzing unfulfilled query data in Tripadvisor

TripAdvisor is one of the largest travel website companies which adopts the user content model with nearly 50 million monthly visitors and millions of business reviews.  We aim to improve the search experience by learning fine-grained information about each business, namely the users' sentiments toward specific entities as expressed in their reviews. Our approach allows us to rank these sentiments and implement a novel search experience where results are sorted by sentimental intensity towards the item of interest. These search results can further be enriched by...

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Restaurant Photo Classification Algorithm and Business Viability Tool

TripAdvisor users write reviews and upload photos from their various restaurant visits. These photos can be categorized/analyzed to reveal information about the restaurant's menu, dishes, pricing, etc. The first step in this analysis is the classification of photos into simple, broad groups: food, drinks, menus, inside and outside photos of the establishment. Students' goal for this project was to build an image classifier using Convolutional Neural Networks and images aquired by the students themselves.