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task ID: newsrecommendation

Related Papers

Neural News Recommendation with Heterogeneous User Behavior

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractNews recommendation is important for online news platforms to help users find interested news and alleviate information overload. Existing news recommendation methods usually rely on the news click history to …...

9022

News2vec: News Network Embedding with Subnode Information

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractWith the development of NLP technologies, news can be automatically categorized and labeled according to a variety of characteristics, at the same time be represented as low dimensional embeddings. However, …...

9024

Graph Neural News Recommendation with Unsupervised Preference Disentanglement

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractWith the explosion of news information, personalized news recommendation has become very important for users to quickly find their interested contents. Most existing methods usually learn the representations of users …...

37663

MIND: A Large-scale Dataset for News Recommendation

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractNews recommendation is an important technique for personalized news service. Compared with product and movie recommendations which have been comprehensively studied, the research on news recommendation is much more limited, …...

37783

Privacy-Preserving News Recommendation Model Learning

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractNews recommendation aims to display news articles to users based on their personal interest. Existing news recommendation methods rely on centralized storage of user behavior data for model training, which …...

32349

Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractNews recommendation is critical for personalized news access. Most existing news recommendation methods rely on centralized storage of users’ historical news click behavior data, which may lead to privacy concerns …...

31877

Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak Decoder

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractDense retrieval requires high-quality text sequence embeddings to support effective search in the representation space. Autoencoder-based language models are appealing in dense retrieval as they train the encoder to output …...

31880

Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractUnderstanding news content is critical to improving the quality of news recommendation. To achieve this goal, recent studies have attempted to apply pre-trained language models (PLMs) such as BERT for …...

4970

Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractNews recommendation is a widely adopted technique to provide personalized news feeds for the user. Recently, pre-trained language models (PLMs) have demonstrated the great capability of natural language understanding and …...

30790