Recommendation system
A Learning Design Recommendation System Based on Markov Decision Processes
... Design Recommendation System (ILD-RS) is such a software component, designed to recommend learning paths during the learning design phase in a Learning Management System ...
9
A Recommendation System For Car Insurance
... The recommendation system that we propose focuses on customers who sub- scribed to a car insurance product proposed by ...the recommendation system is to assign to each customer the most ...
25
Recommendation System-based Upper Confidence Bound for Online Advertising
... B. Recommendation system-based UCB We assume that a rich historical dataset containing previous (including both organic and bandit) sessions on the products of several users is ...proposed ...
9
Adaptive music recommendation system
... The MusicPlanner allows the user to create personal music stations and for each station, constructs a model of user's music taste based on queries and feedback t[r] ...
63
Context-aware Recommendation System for Water Resources Distribution in Smart Water Grids
... recommendations system for water distribution in future smart water grids, with taking the end users' profiles, water types, network conditions into ...of recommendation within ...
11
Appletite : data reduction for the wireless platform : a restaurant recommendation system
... The first page the user receives prompts the user for GPS coordinates, provides a list of user defined profile names, and allows the user to either retrieve a r[r] ...
56
Debugging with the Crowd: a Debug Recommendation System based on Stackoverflow
... Treude et al [6] present an empirical study of Stackover- flow Q&As. Their key result with respect to our debugging system is that question with code snippets are more often answered that others. In other ...
7
Creating a web page recommendation system for Haystack
... Because of this disparity, it was determined that no top level interface for machine learning classes such as classifiers and categorizers could support universal m[r] ...
105
Data, learning and privacy in recommendation systems
... the recommendation system ...based recommendation systems rely on finding patterns in data ...made, recommendation sys- tems using model based techniques has very rapid ...based ...
137
A hybrid model for context-aware proactive recommendation
... any recommendation system are the user and the item (the song for music, ...a recommendation system are usually gathered using ratings which express the user’s opinions on the ...
141
Situation Assessment for Non-Intrusive Recommendation
... of recommendation approach as proactive and non-intrusive as it supports authors in the writing task without asking for their ...based recommendation system to provide the most possible interesting ...
13
Recommendation for product configuration: an experimental evaluation
... Recommendation for product configuration: an experimental evaluation Hélène Fargier 1 and Pierre-François Gimenez 2 and Jérôme Mengin 3 ...the recommendation of values in interactive configuration, with no ...
10
A Mobile Context-Aware Proactive Recommendation Approach
... This task offers an evaluation platform for search techniques that depend highly on the context and the user interests. The input to this task consist of a set of profiles, a set of sample suggestions (a set of venues ...
12
Analogical proportion-based methods for recommendation - First investigations
... c BITE, London, UK Abstract Analogy making is widely recognized as a powerful kind of common-sense reasoning. This paper primarily addresses the relevance of analogical reasoning for recommender systems, which aim at ...
24
Developing a framework for classification and/or recommendation
... Index Terms— Classification, Recommendation, Fuzzy Con- straints Satisfaction, Similarity, Dissimilarity, KL divergence. I. I NTRODUCTION The era in which we live today is governed by the personalization of ...
7
Definition of the mole (IUPAC Recommendation 2017)
... 176 R. Marquardt et al.: Definition of the mole technology since its adoption in 1948” [5]. The SI is an evolving system that reflects current best measurement practices. Thus, changing the definition of base ...
7
Matrix co-factorization for cold-start recommendation
... c Olivier Gouvert, Thomas Oberlin, C´edric F´evotte. Li- censed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). tem cannot recommend songs which have never been lis- tened to, and similarly ...
9
Ordinal Non-negative Matrix Factorization for Recommendation
... Figure 1. Graphical model of OrdMF. A latent variable X is intro- duced to make the link between the factorization term WH T and the ordinal data Y. we present important related works on cumulative link mod- els and on ...
11
Exploring Current Viewing Context for TV Contents Recommendation
... Additionally, different architectures of personalized videos recommendation systems proposed in the literature were out- lined by the survey presented by Asabere [5]. Unfortunately, most works described above draw ...
9
Expertise and Trust-Aware Social Web Service Recommendation
... ized recommendation of Web services has become more and more impor- ...social recommendation to avoid the data sparsity problem that is not treated very well in the collaborative filtering ...
18