News Recommendation

69 papers with code • 1 benchmarks • 6 datasets

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Use these libraries to find News Recommendation models and implementations

Most implemented papers

Wide & Deep Learning for Recommender Systems

microsoft/recommenders 24 Jun 2016

Memorization of feature interactions through a wide set of cross-product feature transformations are effective and interpretable, while generalization requires more feature engineering effort.

RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems

hwwang55/RippleNet 9 Mar 2018

To address the sparsity and cold start problem of collaborative filtering, researchers usually make use of side information, such as social networks or item attributes, to improve recommendation performance.

Fastformer: Additive Attention Can Be All You Need

wuch15/Fastformer 20 Aug 2021

In this way, Fastformer can achieve effective context modeling with linear complexity.

NRPA: Neural Recommendation with Personalized Attention

microsoft/recommenders 29 May 2019

In this paper we propose a neural recommendation approach with personalized attention to learn personalized representations of users and items from reviews.

Neural News Recommendation with Attentive Multi-View Learning

microsoft/recommenders 12 Jul 2019

In the user encoder we learn the representations of users based on their browsed news and apply attention mechanism to select informative news for user representation learning.

Unbiased Offline Evaluation of Contextual-bandit-based News Article Recommendation Algorithms

antonismand/Personalized-News-Recommendation 31 Mar 2010

\emph{Offline} evaluation of the effectiveness of new algorithms in these applications is critical for protecting online user experiences but very challenging due to their "partial-label" nature.

DKN: Deep Knowledge-Aware Network for News Recommendation

microsoft/recommenders 25 Jan 2018

To solve the above problems, in this paper, we propose a deep knowledge-aware network (DKN) that incorporates knowledge graph representation into news recommendation.

News Session-Based Recommendations using Deep Neural Networks

gabrielspmoreira/chameleon_recsys 31 Jul 2018

This architecture is composed of two modules, the first responsible to learn news articles representations, based on their text and metadata, and the second module aimed to provide session-based recommendations using Recurrent Neural Networks.

Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation

hwwang55/MKR 23 Jan 2019

Collaborative filtering often suffers from sparsity and cold start problems in real recommendation scenarios, therefore, researchers and engineers usually use side information to address the issues and improve the performance of recommender systems.