Tag embedding based personalized point of interest recommendation system

Deep Learning Based Recommender System

(2019) Shuai Zhang et al.   ACM COMPUTING SURVEYS

Estimating Gaussian mixture models in the local neighbourhood of embedded word vectors for query performance prediction

(2019) Dwaipayan Roy et al.   INFORMATION PROCESSING & MANAGEMENT

An extensive study on the evolution of context-aware personalized travel recommender systems

(2019) Shini Renjith et al.   INFORMATION PROCESSING & MANAGEMENT

Real-time event embedding for POI recommendation

(2019) Pei-Yi Hao et al.   NEUROCOMPUTING

Trip2Vec: a deep embedding approach for clustering and profiling taxi trip purposes

(2018) Chao Chen et al.   Personal and Ubiquitous Computing

Personalized Context-Aware Point of Interest Recommendation

(2018) Mohammad Aliannejadi et al.   ACM TRANSACTIONS ON INFORMATION SYSTEMS

Representation learning for very short texts using weighted word embedding aggregation

(2016) Cedric De Boom et al.   PATTERN RECOGNITION LETTERS

Opinions matter: a general approach to user profile modeling for contextual suggestion

(2015) Peilin Yang et al.   Information Retrieval Journal

Opinions matter: a general approach to user profile modeling for contextual suggestion

(2015) Peilin Yang et al.   Information Retrieval Journal

Intelligent tourism recommender systems: A survey

(2014) Joan Borràs et al.   EXPERT SYSTEMS WITH APPLICATIONS

Mobile recommender systems in tourism

(2013) Damianos Gavalas et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Recommender systems survey

(2013) J. Bobadilla et al.   KNOWLEDGE-BASED SYSTEMS

iTravel: A recommender system in mobile peer-to-peer environment

(2012) Wan-Shiou Yang et al.   JOURNAL OF SYSTEMS AND SOFTWARE