Ecole d'ingénieur et centre de recherche en Sciences du numérique

Location embeddings for next trip recommendation

Dadoun, Amine; Troncy, Raphaël; Ratier, Olivier; Petitti, Riccardo

WWW 2019, The Web Conference 2019, 30th International World Wide Web Conference, 13-17 May 2019, San Francisco, USA

The amount of information available in social media and specialized blogs has become useful for a user to plan a trip. However, the user is quickly overwhelmed by the list of possibilities offered to him, making his search complex and time-consuming. Recommender systems aim to provide personalized suggestions to users by leveraging different type of information, thus assisting them in their decision-making process. Recently, the use of neural networks and knowledge graphs have proven to be efficient for items recommendation. In our work, we propose an approach that leverages contextual, collaborative and content information in order to recommend personalized destinations to travelers. We compare our approach with a set of state of the art collaborative filtering methods and deep learning based recommender systems.

Document Doi Bibtex

Titre:Location embeddings for next trip recommendation
Mots Clés:Recommender Systems, Neural Networks, Knowledge Graph, Embeddings, Tourism
Type:Conférence
Langue:English
Ville:San Francisco
Pays:ÉTATS-UNIS
Date:
Département:Data Science
Eurecom ref:5879
Copyright: © ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in WWW 2019, The Web Conference 2019, 30th International World Wide Web Conference, 13-17 May 2019, San Francisco, USA http://dx.doi.org/10.1145/3308560.3316535
Bibtex: @inproceedings{EURECOM+5879, doi = {http://dx.doi.org/10.1145/3308560.3316535}, year = {2019}, title = {{L}ocation embeddings for next trip recommendation}, author = {{D}adoun, {A}mine and {T}roncy, {R}apha{\"e}l and {R}atier, {O}livier and {P}etitti, {R}iccardo}, booktitle = {{WWW} 2019, {T}he {W}eb {C}onference 2019, 30th {I}nternational {W}orld {W}ide {W}eb {C}onference, 13-17 {M}ay 2019, {S}an {F}rancisco, {USA} }, address = {{S}an {F}rancisco, {\'{E}}{TATS}-{UNIS}}, month = {05}, url = {http://www.eurecom.fr/publication/5879} }
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