The following pages link to Recommender Systems Handbook (Q5188080):
Displaying 40 items.
- Machine learning paradigms. Applications in recommender systems (Q507608) (← links)
- On the evaluation of intraday market quality in the limit-order book markets: a collaborative filtering approach (Q825354) (← links)
- Evaluating user reputation in online rating systems via an iterative group-based ranking method (Q1620575) (← links)
- Structure-oriented prediction in complex networks (Q1632515) (← links)
- Adaptive test selection for factorization-based surrogate fitness in genetic programming (Q1692063) (← links)
- Split-door criterion: identification of causal effects through auxiliary outcomes (Q1728679) (← links)
- Bayesian Wishart matrix factorization (Q1741276) (← links)
- A configuration-based recommender system for supporting e-commerce decisions (Q1751792) (← links)
- Block tensor train decomposition for missing data estimation (Q1757240) (← links)
- New collaborative filtering algorithms based on SVD++ and differential privacy (Q1992453) (← links)
- Resolving sets and integer programs for recommender systems (Q2046331) (← links)
- A fuzzy content-based group recommender system with dynamic selection of the aggregation functions (Q2092465) (← links)
- Multi-granularity sequential three-way recommendation based on collaborative deep learning (Q2105630) (← links)
- Optimized item selection to boost exploration for recommender systems (Q2117247) (← links)
- Explanations as programs in probabilistic logic programming (Q2163172) (← links)
- Some thoughts on knowledge-enhanced machine learning (Q2237522) (← links)
- Editorial: Preference learning and ranking (Q2251428) (← links)
- Constructing a hybrid recommender system (Q2320296) (← links)
- An effective recommender system by unifying user and item trust information for B2B applications (Q2353393) (← links)
- Two-probabilities focused combination in recommender systems (Q2374526) (← links)
- Mathematical knowledge ontologies and recommender systems for collections of documents in physics and mathematics (Q2631217) (← links)
- Homophily and influence (Q2682791) (← links)
- A New Similarity Measure-Based Collaborative Filtering Approach for Recommender Systems (Q2963709) (← links)
- Do recommender systems benefit users? a modeling approach (Q3302618) (← links)
- Diffusion-based recommendation with trust relations on tripartite graphs (Q3303176) (← links)
- A Logistic Factorization Model for Recommender Systems With Multinomial Responses (Q3391437) (← links)
- A NOVEL FUZZY-BASED SIMILARITY MEASURE FOR COLLABORATIVE FILTERING TO ALLEVIATE THE SPARSITY PROBLEM (Q4553372) (← links)
- Incorporating Aggregate Diversity in Recommender Systems Using Scalable Optimization Approaches (Q4599312) (← links)
- Realtime Channel Recommendation: Switch Smartly While Watching TV (Q4632183) (← links)
- 10.1162/153244302760200641 (Q4779557) (← links)
- (Q4969095) (← links)
- Reinforcement Learning Based Interactive Agent for Personalized Mathematical Skill Enhancement (Q5014701) (← links)
- Customer Choice Models vs. Machine Learning: Finding Optimal Product Displays on Alibaba (Q5031014) (← links)
- Indirect Causal Influence of a Single Bot on Opinion Dynamics Through a Simple Recommendation Algorithm (Q5050297) (← links)
- Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness (Q5087729) (← links)
- Social Networks from a Designer’s Viewpoint (Q5111102) (← links)
- (Q5381123) (← links)
- <scp>Customer‐centric</scp> category selection for mobile and print promotions in loyalty reward programs (Q6076885) (← links)
- Virtual customer assistants in finance: from state of the art and practices to design guidelines (Q6101325) (← links)
- Dynamic-R: a ``challenge-free'' method for rating problem statements (Q6170937) (← links)
