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Shop-Type Recommendation Leveraging the Data from Social Media and Location-Based Services
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-14723-9_6openalex-snapshot
Utilizing Online Social Network and Location-Based Data to Recommend Products and Categories in Online Marketplaces
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A social recommender mechanism for location-based group commerce
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Notice of Removal: Enhancing precision of Markov-based recommenders using location information
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Bits of Personality Everywhere: Implicit User-Generated Content in the Age of Ambient Media
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Recommending travel packages based on mobile crowdsourced data
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Amazon.com recommendations: item-to-item collaborative filtering
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Supporting Context-Aware Media Recommendations for Smart Phones
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Personalized Travel Package With Multi-Point-of-Interest Recommendation Based on Crowdsourced User Footprints
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A Cocktail Approach for Travel Package Recommendation
inferredcites →https://doi.org/10.1109/uic-atc.2013.84openalex-snapshot
Where is the Largest Market: Ranking Areas by Popularity from Location Based Social Networks
inferredcites →https://doi.org/10.1145/1390156.1390267openalex-snapshot
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
inferredcites →https://doi.org/10.1145/1401890.1401944openalex-snapshot
Factorization meets the neighborhood
inferredcites →https://doi.org/10.1145/1457199.1457237openalex-snapshot
Personalized social networking
inferredcites →https://doi.org/10.1145/1639714.1639794openalex-snapshot
Using twitter to recommend real-time topical news
inferredcites →https://doi.org/10.1145/2020408.2020568openalex-snapshot
Cost-aware travel tour recommendation
inferredcites →https://doi.org/10.1145/2030112.2030134openalex-snapshot
When recommendation meets mobile
inferredcites →https://doi.org/10.1145/2043932.2043988openalex-snapshot
Matrix factorization techniques for context aware recommendation
inferredcites →https://doi.org/10.1145/2532515openalex-snapshot
Mining Mobile User Preferences for Personalized Context-Aware Recommendation
inferredcites →https://doi.org/10.1145/2556270openalex-snapshot
Collaborative Filtering beyond the User-Item Matrix
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Defining and Estimating a Trading Area
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The Art of Computer Programming
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Advances in Neural Information Processing Systems 19
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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