Collaborative Ranking
7 papers with code • 0 benchmarks • 0 datasets
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Latest papers with no code
Participation Interfaces for Human-Centered AI
Emerging artificial intelligence (AI) applications often balance the preferences and impacts among diverse and contentious stakeholder groups.
A Joint Two-Phase Time-Sensitive Regularized Collaborative Ranking Model for Point of Interest Recommendation
In this article, we propose a two-phase CR algorithm that incorporates the geographical influence of POIs and is regularized based on the variance of POIs popularity and users' activities over time.
Neural Collaborative Ranking
In this paper, we examine an alternative approach which does not assume that the non-interacted items are necessarily negative, just that they are less preferred than interacted items.
A Collaborative Ranking Model with Multiple Location-based Similarities for Venue Suggestion
Recommending venues plays a critical rule in satisfying users' needs on location-based social networks.
Item Silk Road: Recommending Items from Information Domains to Social Users
In this work, we address the problem of cross-domain social recommendation, i. e., recommending relevant items of information domains to potential users of social networks.
Graph-based Collaborative Ranking
Data sparsity, that is a common problem in neighbor-based collaborative filtering domain, usually complicates the process of item recommendation.
A Harmonic Extension Approach for Collaborative Ranking
We present a new perspective on graph-based methods for collaborative ranking for recommender systems.
Semi-supervised Collaborative Ranking with Push at Top
We propose a semi-supervised collaborative ranking model, dubbed \texttt{S$^2$COR}, to improve the quality of cold-start recommendation.
Collaboratively Learning Preferences from Ordinal Data
In order to predict the preferences, we want to learn the underlying model from noisy observations of the low-rank matrix, collected as revealed preferences in various forms of ordinal data.
