User Model Enrichment for Venue Recommendation

An important task in recommender systems is suggesting relevant venues in a city to a user. These suggestions are usually created by exploiting the user’s history of preferences, which are, for example, collected in previously visited cities. In this paper, we first introduce a user model based on v...

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Bibliographic Details
Published inInformation Retrieval Technology Vol. 9994; pp. 212 - 223
Main Authors Aliannejadi, Mohammad, Mele, Ida, Crestani, Fabio
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2016
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Artificial intelligence
Information retrieval
Latent Dirichlet Allocation
Online Review
Recommender System
Support Vector Machine
Support Vector Machine Classifier
Online AccessGet full text
ISBN9783319480503
3319480502
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-48051-0_16

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Summary:An important task in recommender systems is suggesting relevant venues in a city to a user. These suggestions are usually created by exploiting the user’s history of preferences, which are, for example, collected in previously visited cities. In this paper, we first introduce a user model based on venues’ categories and their descriptive keywords extracted from Foursquare tips. Then, we propose an enriched user model which leverages the users’ reviews from Yelp. Our participation in the TREC 2015 Contextual Suggestion track, confirmed that our model outperforms other approaches by a significant margin.
ISBN:9783319480503
3319480502
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-48051-0_16