Where Should I Go? A Deep Learning Approach to Personalize Type-Based Facet Ranking for POI Suggestion
- 1 January 2021
- book chapter
- Published by Springer Nature
- p. 207-215
Abstract
No abstract availableKeywords
This publication has 12 references indexed in Scilit:
- Personalizing Type-Based Facet Ranking Using BERT Embeddings2021
- A Probabilistic Approach to Personalize Type-Based Facet Ranking for POI Suggestion2021
- Deep Autoencoder on Personalized Facet Selection2019
- Collaborative Filtering for Personalised Facet Selection2018
- A Cross-Platform Collection for Contextual Suggestion2017
- Personalized Facets for Semantic Search Using Linked Open Data with Social Networks2012
- Overview of the INEX 2011 Data-Centric TrackLecture Notes in Computer Science, 2012
- Leveraging the Semantics of Tweets for Adaptive Faceted Search on Twitter2011
- Factic: Personalized Exploratory Search in the Semantic WebLecture Notes in Computer Science, 2010
- Personalized interactive faceted search2008