Nome |
# |
Cross-domain Recommender Systems, file e0c31c0a-2924-4599-e053-1705fe0aef77
|
4.079
|
Content-Based Video Recommendation System Based on Stylistic Visual Features, file e0c31c0a-26a0-4599-e053-1705fe0aef77
|
3.178
|
User Interface Patterns in Recommendation-empowered Content Intensive Multimedia Applications, file e0c31c0a-291e-4599-e053-1705fe0aef77
|
1.203
|
Sequence-aware Recommender Systems, file e0c31c0d-57af-4599-e053-1705fe0aef77
|
1.118
|
Content-Based Multimedia Recommendation Systems: Definition and Application Domains, file e0c31c0c-0864-4599-e053-1705fe0aef77
|
1.022
|
Exploring the Semantic Gap for Movie Recommendations, file e0c31c0b-2b5a-4599-e053-1705fe0aef77
|
797
|
Toward Building a Content-Based Video Recommendation System Based on Low-Level Features, file e0c31c0b-28f1-4599-e053-1705fe0aef77
|
465
|
Using Visual Features Based on MPEG-7 and Deep Learning for Movie Recommendation, file e0c31c0f-cf42-4599-e053-1705fe0aef77
|
439
|
Cross-Domain Recommendations Without Overlapping Data: Myth or Reality?, file e0c31c0a-26a2-4599-e053-1705fe0aef77
|
428
|
Benchmarking: A Methodology for Ensuring the Relative Quality of Recommendation Systems in Software Engineering, file e0c31c0a-292a-4599-e053-1705fe0aef77
|
317
|
How to Combine Visual Features with Tags to Improve Movie Recommendation Accuracy?, file e0c31c0b-301d-4599-e053-1705fe0aef77
|
286
|
User effort vs. accuracy in rating-based elicitation, file e0c31c0a-2922-4599-e053-1705fe0aef77
|
281
|
A Unifying Framework for the Approximate Solution of Closed Multiclass Queuing Networks, file e0c31c0a-2926-4599-e053-1705fe0aef77
|
258
|
User Interface Patterns in Recommendation-empowered Content Intensive Multimedia Applications, file e0c31c12-72a0-4599-e053-1705fe0aef77
|
254
|
Deriving Item Features Relevance from Past User Interactions, file e0c31c0c-88ca-4599-e053-1705fe0aef77
|
246
|
Workload Models of VBR Video Traffic and their Use in Resource Allocation Policies, file e0c31c0a-2915-4599-e053-1705fe0aef77
|
228
|
Performance Issues in Video Streaming Environments, file e0c31c10-4c91-4599-e053-1705fe0aef77
|
117
|
Are we Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches, file 4581acd8-b5d1-4b3d-8bc8-5982f25b751b
|
108
|
Compact Markov-Modulated Models for Multiclass Trace Fitting, file e0c31c0d-5955-4599-e053-1705fe0aef77
|
96
|
On the Instability of Embeddings for Recommender Systems: the Case of Matrix Factorization, file e0c31c11-c521-4599-e053-1705fe0aef77
|
81
|
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research, file e68a57ea-dc32-45c3-a815-ca28d37aa6c6
|
70
|
NFC: a Deep and Hybrid Item-based Model for Item Cold-start Recommendation, file e0c31c11-f3aa-4599-e053-1705fe0aef77
|
56
|
Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers, file 714c399d-7a67-441a-bee6-db2aab0f4a33
|
48
|
Impressions in Recommender Systems: Present and Future, file 18d1d14b-0dfa-4c6f-a3c2-be89b2400e1d
|
26
|
Design and Evaluation of Cross-Domain Recommender Systems, file 7e0289c2-5550-4baa-8244-751c9e1c58da
|
26
|
Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems, file 79bf809f-0aec-4685-b179-3ab1d3e238ad
|
20
|
ContentWise Impressions: An Industrial Dataset with Impressions Included, file 7e3a1153-e541-4f91-9e8a-42b5fa172df3
|
20
|
Off-Policy Evaluation with Deficient Support Using Side Information, file fa6bedf5-f46b-4673-9226-b4c2ce4ade17
|
19
|
Automated service time estimation method for IT system resources, file e0c31c0a-28b2-4599-e053-1705fe0aef77
|
18
|
Estimate Features Relevance For Groups of Users, file e0c31c0c-95c6-4599-e053-1705fe0aef77
|
17
|
An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering, file 1a6bb1ba-58db-4851-a1f8-606b6b88e6fd
|
16
|
Feature Selection for Classification with QAOA, file 21825297-04b8-4644-9070-3f3802fb6d0f
|
13
|
Optimizing the Selection of Recommendation Carousels with Quantum Computing, file 857a9317-460a-4a4d-b29d-5e0569a28677
|
13
|
Towards Improved QUBO Formulations of IR Tasks for Quantum Annealers, file 100034c2-8e89-416f-bbd0-980c5349bb7b
|
12
|
Virtual Network Function Embedding with Quantum Annealing, file 65cd959d-ab3b-4bb4-b0f5-7225a5a05476
|
12
|
Evaluating the Job Shop Scheduling Problem on a D-Wave Quantum Annealer, file 69e88622-757e-46e8-9161-843fcc122e59
|
12
|
Workshop on Learning and Evaluating Recommendations with Impressions (LERI), file 8da15292-fb10-49c4-b160-537b679d80a1
|
11
|
qCLEF: A Proposal to Evaluate Quantum Annealing for Information Retrieval and Recommender Systems, file eb048e50-4ab5-4cca-b2f1-c9f133eb6dd4
|
11
|
Estimating confidence of individual user predictions in item-based recommender systems, file 33b04aa1-4879-4870-a392-f7f0a9c1050d
|
10
|
Characterizing Impression-Aware Recommender Systems, file fb3eb641-00a0-454f-af08-ecf07de1812c
|
10
|
Measuring the User Satisfaction in a Recommendation Interface with Multiple Carousels, file 049bee22-a1c3-4c42-bb7a-117acb4bde63
|
8
|
Towards Recommender Systems with Community Detection and Quantum Computing, file 467b8109-d944-4108-afa6-be32707296ec
|
8
|
Incorporating Impressions to Graph-Based Recommenders, file 7b153d7a-f4b0-4c06-a7a7-3df72f6b5675
|
8
|
A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels, file 2d12e97a-02ba-4097-a8e5-906132373709
|
7
|
From Data Analysis to Intent-based Recommendation: an Industrial Case Study in the Video Domain, file 75d3edda-925f-406d-95b9-966ecb475a58
|
7
|
Recommending Movies Based on Mise-en-Scene Design, file e0c31c0b-29a8-4599-e053-1705fe0aef77
|
7
|
Towards the Evaluation of Recommender Systems with Impressions, file 1e279e61-da85-48c6-a9e0-1722d75bacef
|
6
|
Measuring the Ranking Quality of Recommendations in a Two-Dimensional Carousel Setting, file 5c457aa2-f4da-48e7-9877-94c7092ddf79
|
6
|
Movie genome: alleviating new item cold start in movie recommendation, file a3d709d0-a7c7-4fe1-8d62-b79d4f04253d
|
6
|
A Collaborative Filtering Approach for the Automatic Tuning of Compiler Optimisations, file e0c31c10-88bf-4599-e053-1705fe0aef77
|
6
|
Does the structure of the QUBO problem affect the effectiveness of quantum annealing? An empirical perspective, file 43e1fcc7-5655-44a0-ba2a-5fc35c0110b3
|
5
|
Evaluating Recommendations in a User Interface With Multiple Carousels, file 4dd1b8d5-0aa4-4883-9bba-e48d20e44068
|
5
|
Offline Evaluation of Recommender Systems in a User Interface With Multiple Carousels, file b32d31ad-047f-477e-a793-b4b8f9ca82d7
|
5
|
Feature selection for Recommender Systems with Quantum Computing, file 00451ac2-3fe6-460c-993a-2255649d9b1f
|
4
|
Benchmarking Adaptative Variational Quantum Algorithms on QUBO Instances, file 80da80e3-a1f6-4d92-b4a8-9c52232dc74e
|
4
|
Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features, file a527a66d-1ff9-4c84-b13d-6e7776a1643e
|
3
|
Feature Selection via Quantum Annealers for Ranking and Classification Tasks, file c22c43a9-8a44-4163-a3b4-157916c73b36
|
3
|
Personalized and Context-Aware TV Program Recommendations Based on Implicit Feedback, file e0c31c08-e9b3-4599-e053-1705fe0aef77
|
3
|
Replication of Recommender Systems with Impressions, file 313e7471-6857-47ac-89ec-58a10dff1e68
|
2
|
Methodological Issues in Recommender Systems Research (Extended Abstract), file 567f578d-4ce6-48cd-b7a1-e1938c891fa8
|
2
|
Replication of collaborative Filtering Generative Adversarial Networks on Recommender Systems, file 5f507f2b-474c-458e-b78a-b7062c57b249
|
2
|
Deriving Item Features Relevance from Collaborative Domain Knowledge, file abca2c51-dd89-419e-800d-19ef61ad8a18
|
2
|
A Unified Framework for the Bottleneck Analysis of Multiclass Queueing Networks, file e0c31c07-c9d7-4599-e053-1705fe0aef77
|
2
|
Investigating the Persuasion Potential of Recommender Systems from a Quality Perspective: an Empirical Study, file e0c31c08-0083-4599-e053-1705fe0aef77
|
2
|
Analyzing and Improving Stability of Matrix Factorization for Recommender Systems, file e0c31c12-adcb-4599-e053-1705fe0aef77
|
2
|
Eigenvalue Analogy for Confidence Estimation in Item-Based Recommender Systems, file 073409c5-6cf0-4c84-8cdc-4a74d90a20c1
|
1
|
Recommending Relevant Papers to Conference Participants: a Deep Learning Driven Content-based Approach, file 1c4ca123-3b14-4703-bdcf-096a080eaf92
|
1
|
A Novel Graph-based Model for Hybrid Recommendations in Cold-start Scenarios, file 9e5027cc-4690-46ba-a37e-bf2fd3dd5cdf
|
1
|
Automated service time estimation method for IT system resources, file e0c31c07-e09f-4599-e053-1705fe0aef77
|
1
|
Hybrid Algorithms for Recommending New Items, file e0c31c07-f2e6-4599-e053-1705fe0aef77
|
1
|
The effect of different video summarization models on the quality of video recommendation based on low-level visual features, file e0c31c0b-2a22-4599-e053-1705fe0aef77
|
1
|
Benchmarking adaptative variational quantum algorithms on QUBO instances (Extended Abstract), file fe9208bb-1e98-4ea3-b970-6b149fc65c86
|
1
|
Totale |
15.563 |