Deep Thompson Sampling for Length of Stay Prediction | 0 | 0.34 | 2021 |
Explaining Symbolic Regression Predictions. | 0 | 0.34 | 2020 |
Detecting Collaboration Profiles in Success-based Music Genre Networks. | 0 | 0.34 | 2020 |
Is Rank Aggregation Effective in Recommender Systems? An Experimental Analysis | 0 | 0.34 | 2020 |
Multimodal approach for tension levels estimation in news videos | 1 | 0.37 | 2019 |
Multimodal data fusion framework based on autoencoders for top-N recommender systems | 2 | 0.40 | 2019 |
Exploiting Multiple Recommenders to Improve Group Recommendation | 0 | 0.34 | 2018 |
User-Oriented Objective Prioritization for Meta-Featured Multi-Objective Recommender Systems. | 0 | 0.34 | 2018 |
A computational approach to support the creation of terminological neologisms in sign languages. | 0 | 0.34 | 2018 |
A Robust Indoor Scene Recognition Method based on Sparse Representation. | 1 | 0.35 | 2017 |
A Majority Voting Approach for Sentiment Analysis in Short Texts using Topic Models. | 0 | 0.34 | 2017 |
A video summarization approach based on the emulation of bottom-up mechanisms of visual attention. | 3 | 0.36 | 2017 |
A general framework to expand short text for topic modeling. | 14 | 0.60 | 2017 |
Multi-Objective Ranked Bandits for Recommender Systems | 7 | 0.43 | 2017 |
Automatic and online setting of similarity thresholds in content-based visual information retrieval problems. | 0 | 0.34 | 2016 |
Topic Modeling for Short Texts with Co-occurrence Frequency-Based Expansion | 2 | 0.44 | 2016 |
MeGASS: Multi-Objective Genetic Active Site Search | 0 | 0.34 | 2015 |
Adding Value to Daily-Deals Recommendation: Multi-armed Bandits to Match Customers and Deals. | 0 | 0.34 | 2015 |
Context-Aware Deal Size Prediction | 0 | 0.34 | 2014 |
Information-Theoretic Term Selection for New Item Recommendation | 0 | 0.34 | 2014 |
Multiobjective Pareto-Efficient Approaches for Recommender Systems. | 21 | 0.99 | 2014 |
Where Should I Go? City Recommendation Based on User Communities | 1 | 0.36 | 2014 |
GUARD: A Genetic Unified Approach for Recommendation. | 3 | 0.38 | 2013 |
Building user profiles to improve user experience in recommender systems | 4 | 0.40 | 2013 |
Exploratory and interactive daily deals recommendation | 5 | 0.43 | 2013 |
Using Taxonomies for Product Recommendation. | 3 | 0.42 | 2012 |
Minimal perfect hashing: A competitive method for indexing internal memory | 9 | 0.56 | 2011 |
Demand-driven tag recommendation | 16 | 0.70 | 2010 |
Learning to advertise | 80 | 4.58 | 2006 |