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Deep Learning Models for Serendipity Recommendations: A Survey and New Perspectives
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4899-7637-6_26openalex-snapshot
Novelty and Diversity in Recommender Systems
inferredcites →https://doi.org/10.1007/978-3-031-02312-5openalex-snapshot
Researching Serendipity in Digital Information Environments
inferredcites →https://doi.org/10.1007/978-3-319-24489-1_9openalex-snapshot
A Serendipity Model for News Recommendation
inferredcites →https://doi.org/10.1007/s10115-021-01546-8openalex-snapshot
PPNW: personalized pairwise novelty loss weighting for novel recommendation
inferredcites →https://doi.org/10.1007/s10676-013-9321-6openalex-snapshot
Bias in algorithmic filtering and personalization
inferredcites →https://doi.org/10.1007/s11257-019-09221-yopenalex-snapshot
Movie genome: alleviating new item cold start in movie recommendation
inferredcites →https://doi.org/10.1007/s11390-020-0135-9openalex-snapshot
Serendipity in Recommender Systems: A Systematic Literature Review
inferredcites →https://doi.org/10.1007/s13748-018-0158-4openalex-snapshot
Optimizing novelty and diversity in recommendations
inferredcites →https://doi.org/10.1016/j.elerap.2020.101017openalex-snapshot
Serendipity adjustable application recommendation via joint disentangled recurrent variational auto-encoder
inferredcites →https://doi.org/10.1016/j.eswa.2021.115660openalex-snapshot
Deep neural network approach for a serendipity-oriented recommendation system
inferredcites →https://doi.org/10.1016/j.inffus.2017.10.006openalex-snapshot
A survey on deep learning for big data
inferredcites →https://doi.org/10.1016/j.ins.2022.09.058openalex-snapshot
Dynamically aggregating individuals’ social influence and interest evolution for group recommendations
inferredcites →https://doi.org/10.1016/j.ipm.2015.06.008openalex-snapshot
An investigation on the serendipity problem in recommender systems
inferredcites →https://doi.org/10.1016/j.jrp.2009.04.011openalex-snapshot
The curiosity and exploration inventory-II: Development, factor structure, and psychometrics
inferredcites →https://doi.org/10.1016/j.knosys.2016.08.014openalex-snapshot
A survey of serendipity in recommender systems
inferredcites →https://doi.org/10.1016/j.procs.2018.04.032openalex-snapshot
User Control and Serendipitous Recommendations in Learning Environments
inferredcites →https://doi.org/10.1109/access.2019.2954957openalex-snapshot
Contextual Hybrid Session-Based News Recommendation With Recurrent Neural Networks
inferredcites →https://doi.org/10.1109/bigdata52589.2021.9671467openalex-snapshot
Deep Neural Network to Tradeoff between Accuracy and Diversity in a News Recommender System
inferredcites →https://doi.org/10.1109/gcce50665.2020.9291748openalex-snapshot
Music Playlist Generation Based on Reinforcement Learning Using Acoustic Feature Map
inferredcites →https://doi.org/10.1109/jproc.2020.3004555openalex-snapshot
A Comprehensive Survey on Transfer Learning
inferredcites →https://doi.org/10.1109/tbdata.2021.3103263openalex-snapshot
Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network
inferredcites →https://doi.org/10.1109/tsc.2020.2964552openalex-snapshot
Personalized Recommendation System Based on Collaborative Filtering for IoT Scenarios
inferredcites →https://doi.org/10.1142/s0219649215500070openalex-snapshot
Creating Sparks: Comparing Search Results Using Discriminatory Search Term Word Co-Occurrence to Facilitate Serendipity in the Enterprise
inferredcites →https://doi.org/10.1145/1060745.1060754openalex-snapshot
Improving recommendation lists through topic diversification
inferredcites →https://doi.org/10.1145/1454008.1454012openalex-snapshot
The long tail of recommender systems and how to leverage it
inferredcites →https://doi.org/10.1145/1952222.1952278openalex-snapshot
Understanding experience using dialogical methods
inferredcites →https://doi.org/10.1145/2339530openalex-snapshot
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
inferredcites →https://doi.org/10.1145/2559952openalex-snapshot
On Unexpectedness in Recommender Systems
inferredcites →https://doi.org/10.1145/2566486.2567976openalex-snapshot
Mining novelty-seeking trait across heterogeneous domains
inferredcites →https://doi.org/10.1145/2736277.2741095openalex-snapshot
A Novelty-Seeking based Dining Recommender System
inferredcites →https://doi.org/10.1145/2766462.2767783openalex-snapshot
Exploring Opportunities to Facilitate Serendipity in Search
inferredcites →https://doi.org/10.1145/2806416openalex-snapshot
Proceedings of the 24th ACM International on Conference on Information and Knowledge Management
inferredcites →https://doi.org/10.1145/2926720openalex-snapshot
Diversity, Serendipity, Novelty, and Coverage
inferredcites →https://doi.org/10.1145/3038912.3052585openalex-snapshot
Learning to Recommend Accurate and Diverse Items
inferredcites →https://doi.org/10.1145/3099023.3099097openalex-snapshot
A Framework for Computational Serendipity
inferredcites →https://doi.org/10.1145/3167132.3167276openalex-snapshot
Investigating serendipity in recommender systems based on real user feedback
inferredcites →https://doi.org/10.1145/3185663openalex-snapshot
Learning to Recommend Related Entities With Serendipity for Web Search Users
inferredcites →https://doi.org/10.1145/3205849openalex-snapshot
Implementing and Evaluating Serendipity in Delivering Personalized Health Information
inferredcites →https://doi.org/10.1145/3233773openalex-snapshot
A Deep Bayesian Tensor-Based System for Video Recommendation
inferredcites →https://doi.org/10.1145/3234944.3234974openalex-snapshot
An Adaptive Recommender System for Computational Serendipity
inferredcites →https://doi.org/10.1145/3269206.3269268openalex-snapshot
Recommending Serendipitous Items using Transfer Learning
inferredcites →https://doi.org/10.1145/3285029openalex-snapshot
Deep Learning Based Recommender System
inferredcites →https://doi.org/10.1145/3290605openalex-snapshot
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
inferredcites →https://doi.org/10.1145/3295750.3298963openalex-snapshot
Computational Surprise, Perceptual Surprise, and Personal Background in Text Understanding
inferredcites →https://doi.org/10.1145/3298689openalex-snapshot
Proceedings of the 13th ACM Conference on Recommender Systems
inferredcites →https://doi.org/10.1145/3308558.3313469openalex-snapshot
How Serendipity Improves User Satisfaction with Recommendations? A Large-Scale User Evaluation
inferredcites →https://doi.org/10.1145/3320435.3320468openalex-snapshot
Bayesian Personalized Ranking for Novelty Enhancement
inferredcites →https://doi.org/10.1145/3331184.3331267openalex-snapshot
Neural Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3340631.3394863openalex-snapshot
The Impacts of Item Features and User Characteristics on Users' Perceived Serendipity of Recommendations
inferredcites →https://doi.org/10.1145/3341981.3344231openalex-snapshot
Deep Learning of Human Information Foraging Behavior with a Search Engine
inferredcites →https://doi.org/10.1145/3357384openalex-snapshot
Proceedings of the 28th ACM International Conference on Information and Knowledge Management
inferredcites →https://doi.org/10.1145/3362505openalex-snapshot
Geographic Diversification of Recommended POIs in Frequently Visited Areas
inferredcites →https://doi.org/10.1145/3391197openalex-snapshot
Serendipity-based Points-of-Interest Navigation
inferredcites →https://doi.org/10.1145/3407182openalex-snapshot
Cold-start Point-of-interest Recommendation through Crowdsourcing
inferredcites →https://doi.org/10.1145/3437963openalex-snapshot
Proceedings of the 14th ACM International Conference on Web Search and Data Mining
inferredcites →https://doi.org/10.1145/3442381openalex-snapshot
Proceedings of the Web Conference 2021
inferredcites →https://doi.org/10.1145/3459991openalex-snapshot
A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments
inferredcites →https://doi.org/10.1145/3475768openalex-snapshot
Multi-interest Diversification for End-to-end Sequential Recommendation
inferredcites →https://doi.org/10.1145/3477314openalex-snapshot
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing
inferredcites →https://doi.org/10.1145/3477495openalex-snapshot
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
inferredcites →https://doi.org/10.1145/3477495.3536332openalex-snapshot
An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios
inferredcites →https://doi.org/10.1145/3487047openalex-snapshot
TRACE: Travel Reinforcement Recommendation Based on Location-Aware Context Extraction
inferredcites →https://doi.org/10.1145/3523227openalex-snapshot
Proceedings of the 16th ACM Conference on Recommender Systems
inferredcites →https://doi.org/10.1145/963770.963772openalex-snapshot
Evaluating collaborative filtering recommender systems
inferredcites →https://doi.org/10.1145/963770.963776openalex-snapshot
Item-based top- N recommendation algorithms
inferredcites →https://doi.org/10.13140/rg.2.2.35255.27043openalex-snapshot
A Deep, Forgetful Novelty-Seeking Movie Recommender Model
inferredcites →https://doi.org/10.18653/v1/p17-1098openalex-snapshot
Diversity driven attention model for query-based abstractive summarization
inferredcites →https://doi.org/10.2200/s00790ed1v01y201707icr059openalex-snapshot
Researching Serendipity in Digital Information Environments
inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot
Glove: Global Vectors for Word Representation
inferredcites →https://doi.org/10.48550/arxiv.1605.05362openalex-snapshot
Yelp Dataset Challenge: Review Rating Prediction
inferredcites →https://doi.org/10.48550/arxiv.1707.07435openalex-snapshot
Deep Learning based Recommender System: A Survey and New Perspectives
inferredcites →https://doi.org/10.53106/160792642021072204010openalex-snapshot
The Point Of Interest (POI) Recommendation for Mobile Digital Culture Heritage (M-DCH) Based on the Behavior Analysis using the Recurrent Neural Networks (RNN) and User-Collaborative Filtering
inferredcites →https://doi.org/10.5860/choice.44-2783openalex-snapshot
The long tail: why the future of business is selling less of more
inferredcites →https://doi.org/10.5860/choice.50-0926openalex-snapshot
The filter bubble: how the new personalized Web is changing what we read and how we think
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-62362-2_43openalex-snapshot
Overview of Serendipity in Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-78093-6_3openalex-snapshot
A Serendipitous Recommendation System Considering User Curiosity
inferred← citeshttps://doi.org/10.1007/978-3-032-02088-8_4openalex-snapshot
Food Recommendation With Balancing Comfort and Curiosity
inferred← citeshttps://doi.org/10.1007/978-3-032-15638-9_17openalex-snapshot
User Fairness in Recommender Systems Using Beyond-Accuracy Basket Quality Metrics
inferred← citeshttps://doi.org/10.1007/s11518-026-5737-5openalex-snapshot
TIER: A Temporal Information-Enhanced Repeat-Aware Sequential Recommendation Model for On-Demand Television Content
inferred← citeshttps://doi.org/10.1007/s42979-026-04848-2openalex-snapshot
A Critical Review on Citation Recommendation Systems Through a Graph-Centric Approach
inferred← citeshttps://doi.org/10.1007/s44163-023-00080-6openalex-snapshot
Mapping AI avant-gardes in time: posthumanism, transhumanism, genhumanism
inferred← citeshttps://doi.org/10.1016/j.asoc.2025.113709openalex-snapshot
Cross-domain commercial site selection from Changsha to Wuhan in China using transfer learning
inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102343openalex-snapshot
A graph neural approach for group recommendation system based on pairwise preferences
inferred← citeshttps://doi.org/10.1038/s41598-025-15351-8openalex-snapshot
Aggregate based light incremental sharding for efficient embedding table management for recommender systems
inferred← citeshttps://doi.org/10.1080/10447318.2026.2623543openalex-snapshot
The Relationship Between Perceived Diversity and Entropy of AI-Generated Content: A Case Study in Recipe Generation
inferred← citeshttps://doi.org/10.1080/10447318.2026.2647130openalex-snapshot
When Algorithms Offend: Unpacking the Causes and Cures for User Aversion in AI Recommender Systems
inferred← citeshttps://doi.org/10.1080/13504851.2026.2655917openalex-snapshot
Consumer satisfaction with new content discovery through algorithmic and human recommendations
inferred← citeshttps://doi.org/10.1109/mis.2024.3398190openalex-snapshot
Toward Responsible Recommender Systems
inferred← citeshttps://doi.org/10.1109/mpcon66082.2025.11256617openalex-snapshot
Dynamic Capture Model of User Preferences for Music Digitization Platform Based on Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tkde.2024.3509454openalex-snapshot
Session-Oriented Fairness-Aware Recommendation via Dual Temporal Convolutional Networks
inferred← citeshttps://doi.org/10.1109/tmm.2026.3673527openalex-snapshot
Structurally Refined Graph Transformer for Multimodal Recommendation
inferred← citeshttps://doi.org/10.1111/caim.12580openalex-snapshot
Creativity and artificial intelligence: A multilevel perspective
inferred← citeshttps://doi.org/10.1145/3617598openalex-snapshot
Modeling Users’ Curiosity in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3626772.3657802openalex-snapshot
Modeling User Fatigue for Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3690654openalex-snapshot
A Deep Learning Model for Cross-Domain Serendipity Recommendations
inferred← citeshttps://doi.org/10.1145/3694783openalex-snapshot
Distributed Recommendation Systems: Survey and Research Directions
inferred← citeshttps://doi.org/10.1145/3705328.3748167openalex-snapshot
Exploring the Potential of LLMs for Serendipity Evaluation in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3711896.3737199openalex-snapshot
Bursting Filter Bubble: Enhancing Serendipity Recommendations with Aligned Large Language Models
inferred← citeshttps://doi.org/10.1145/3726302.3729933openalex-snapshot
Comprehensive List Generation for Multi-Generator Reranking
inferred← citeshttps://doi.org/10.1145/3746252.3760911openalex-snapshot
A Universal Framework for Offline Serendipity Evaluation in Recommender Systems via Large Language Models
inferred← citeshttps://doi.org/10.1145/3758092openalex-snapshot
Uncovering Recommendation Serendipity with Objective Data-driven Factor Investigation
inferred← citeshttps://doi.org/10.1145/3805689.3812238openalex-snapshot
Shaping History, Responsibly: Seven Principles to Guide the Design of Archival AI Assistants for Cultural Heritage Collections
inferred← citeshttps://doi.org/10.1177/14727978251374341openalex-snapshot
Development of educational tools integrating mixed reality and artificial intelligence: A theoretical and practical exploration
inferred← citeshttps://doi.org/10.20965/jaciii.2024.p1263openalex-snapshot
Can Large Language Models Assess Serendipity in Recommender Systems?
inferred← citeshttps://doi.org/10.3390/info15060312openalex-snapshot
Enhancing Personalized Recommendations: A Study on the Efficacy of Multi-Task Learning and Feature Integration
inferred← citeshttps://doi.org/10.4018/979-8-3373-9589-0.ch006openalex-snapshot
Habit Loops vs. Serendipity
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