TRSDL: Tag-Aware Recommender System Based on Deep Learning–Intelligent Computing Systems
Explore this paper's citation graph
Summary
A hybrid deep learning model TRSDL (tag-aware recommender system based on deep learning), which not only addresses tag limitations and takes advantage of semantic tag information but also learns more advanced implicit features via deep structures.
- Type
- article
- Published
- 2018-05-16
- Cited by
- 43
- References
- 57
- Access
- Open access
- OpenAlex
- https://openalex.org/W2804537577
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:117727767
Keywords
MovieLens, Recommender system, Computer science, Artificial intelligence, Deep learning
References
- Recurrent neural network based language model
- Efficient Estimation of Word Representations in Vector Space
- AutoRec: Autoencoders Meet Collaborative Filtering
- The PageRank Citation Ranking : Bringing Order to the Web
- Tag-aware recommender systems by fusion of collaborative filtering algorithms
- Personalized Recommendation via Integrated Diffusion on User-Item-Tag Tripartite Graphs
- A hybrid approach to item recommendation in folksonomies
- Statistical Power Analysis for the Behavioral Sciences (2nd ed.)
- Recurrent neural networks
- Matrix Factorization Techniques for Recommender Systems
- Learning optimal ranking with tensor factorization for tag recommendation
- Personalized recommendation in social tagging systems using hierarchical clustering
- Long Short-Term Memory
- Improved recommendation based on collaborative tagging behaviors
- WordNet: A Lexical Database for English
- Towards Twitter hashtag recommendation using distributed word representations and a deep feed forward neural network
- Pairwise interaction tensor factorization for personalized tag recommendation
- Restricted Boltzmann machines for collaborative filtering
- Folksonomies, the semantic web, and movie recommendation
- Deep content-based music recommendation
Cited by
- An Attention-Based Recommender System to Predict Contextual Intent Based on Choice Histories across and within Sessions
- Understanding Emotions in Text Using Deep Learning and Big Data
- Introduction of Fractal Based Information Processing and Recognition
- LambdaGAN: Generative Adversarial Nets for Recommendation Task with Lambda Strategy
- Utilizing Generative Adversarial Networks for Recommendation based on Ratings and Reviews
- AIRec: Attentive Intersection Model for Tag-Aware Recommendation
- TNAM: A tag-aware neural attention model for Top-N recommendation
- Design of an Unsupervised Machine Learning-Based Movie Recommender System
- Core Architecture and Design Issues of Collaborative Tagging Applications
- Movie Recommender Systems Made Through Tag Interpolation
- Probabilistic Modeling of Structure in Science: Statistical Physics to Recommender Systems
- A New Hybrid Deep Learning Model based-Recommender System using Artificial Neural Network and Hidden Markov Model
- Exploiting relational tag expansion for dynamic user profile in a tag-aware ranking recommender system
- TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation
- Tag-Aware Recommender System Based on Deep Reinforcement Learning
- RankFromSets: Scalable set recommendation with optimal recall
- Prediction of protein‐protein interactions using stacked auto‐encoder
- Evaluation of recent advances in recommender systems on Arabic content
- Researching on the Cold Start Technology of New Broadcast Television Storage Resource Allocation
- Using Social Tag Embedding in a Collaborative Filtering Approach for Recommender Systems
Related papers
- A Collaborative Filtering Algorithm Based on User Similarity and Trust
- The collaborative filtering based on co-ratings
- A Combined Forecast Scheme of User-Based and Item-based Collaborative Filtering Using Neighborhood Size
- Optimization of fuzzy similarity by genetic algorithm in user‐based collaborative filtering recommender systems
- Collaborative Filtering Hybrid Recommendation Algorithm based on Optimal Weight
- Performance Evaluation of Ensemble based Collaborative Filtering Recommender System
- A collaborative filtering algorithm based on biclustering
- Collaborative filtering recommendation algorithm based on user characteristics and item attributes