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Are we Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches, file 4581acd8-b5d1-4b3d-8bc8-5982f25b751b
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137
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A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research, file e68a57ea-dc32-45c3-a815-ca28d37aa6c6
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73
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Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers, file 714c399d-7a67-441a-bee6-db2aab0f4a33
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54
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Design and Evaluation of Cross-Domain Recommender Systems, file 7e0289c2-5550-4baa-8244-751c9e1c58da
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35
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Leveraging laziness, browsing-pattern aware stacked models for sequential accommodation learning to rank, file d7c7fb21-6ae4-448b-908c-66425b157e7c
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34
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ContentWise Impressions: An Industrial Dataset with Impressions Included, file 7e3a1153-e541-4f91-9e8a-42b5fa172df3
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26
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Impressions in Recommender Systems: Present and Future, file 18d1d14b-0dfa-4c6f-a3c2-be89b2400e1d
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25
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Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems, file 79bf809f-0aec-4685-b179-3ab1d3e238ad
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25
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Artist-driven layering and user's behaviour impact on recommendations in a playlist continuation scenario, file cf7ffccf-0292-4b9f-9384-ef6c617eb545
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25
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An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering, file 1a6bb1ba-58db-4851-a1f8-606b6b88e6fd
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24
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Estimating confidence of individual user predictions in item-based recommender systems, file 33b04aa1-4879-4870-a392-f7f0a9c1050d
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22
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Optimizing the Selection of Recommendation Carousels with Quantum Computing, file 857a9317-460a-4a4d-b29d-5e0569a28677
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22
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qCLEF: A Proposal to Evaluate Quantum Annealing for Information Retrieval and Recommender Systems, file eb048e50-4ab5-4cca-b2f1-c9f133eb6dd4
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21
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Off-Policy Evaluation with Deficient Support Using Side Information, file fa6bedf5-f46b-4673-9226-b4c2ce4ade17
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18
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Feature Selection for Classification with QAOA, file 21825297-04b8-4644-9070-3f3802fb6d0f
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17
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A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels, file 2d12e97a-02ba-4097-a8e5-906132373709
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17
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Quantum Computing for Information Retrieval and Recommender Systems, file d2d37db5-04a6-4cf9-8522-358ddc33f5d9
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17
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Evaluating Recommendations in a User Interface With Multiple Carousels, file 4dd1b8d5-0aa4-4883-9bba-e48d20e44068
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16
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Workshop on Learning and Evaluating Recommendations with Impressions (LERI), file 8da15292-fb10-49c4-b160-537b679d80a1
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16
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Towards Improved QUBO Formulations of IR Tasks for Quantum Annealers, file 100034c2-8e89-416f-bbd0-980c5349bb7b
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15
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Characterizing Impression-Aware Recommender Systems, file fb3eb641-00a0-454f-af08-ecf07de1812c
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15
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Virtual Network Function Embedding with Quantum Annealing, file 65cd959d-ab3b-4bb4-b0f5-7225a5a05476
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14
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Evaluating the Job Shop Scheduling Problem on a D-Wave Quantum Annealer, file 69e88622-757e-46e8-9161-843fcc122e59
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13
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Incorporating Impressions to Graph-Based Recommenders, file 7b153d7a-f4b0-4c06-a7a7-3df72f6b5675
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13
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Measuring the User Satisfaction in a Recommendation Interface with Multiple Carousels, file 049bee22-a1c3-4c42-bb7a-117acb4bde63
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12
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Lightweight and Scalable Model for Tweet Engagements Predictions in a Resource-constrained Environment, file 3a33b0d4-7133-439a-b1f6-53c635600307
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12
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QuantumCLEF - Quantum Computing at CLEF, file b6dd9497-b579-4344-909d-4c6b100b1e45
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12
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From Data Analysis to Intent-based Recommendation: an Industrial Case Study in the Video Domain, file 75d3edda-925f-406d-95b9-966ecb475a58
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11
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Towards the Evaluation of Recommender Systems with Impressions, file 1e279e61-da85-48c6-a9e0-1722d75bacef
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10
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Does the structure of the QUBO problem affect the effectiveness of quantum annealing? An empirical perspective, file 43e1fcc7-5655-44a0-ba2a-5fc35c0110b3
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9
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Multi-Objective Blended Ensemble for Highly Imbalanced Sequence Aware Tweet Engagement Prediction, file b4e55f5e-828f-4d6e-bae3-414e69f3bd24
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9
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Lightweight Model for Session-Based Recommender Systems with Seasonality Information in the Fashion Domain, file 45512a63-d6f4-42fb-9177-25914ed5f085
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8
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Towards Recommender Systems with Community Detection and Quantum Computing, file 467b8109-d944-4108-afa6-be32707296ec
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8
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Measuring the Ranking Quality of Recommendations in a Two-Dimensional Carousel Setting, file 5c457aa2-f4da-48e7-9877-94c7092ddf79
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8
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Benchmarking Adaptative Variational Quantum Algorithms on QUBO Instances, file 80da80e3-a1f6-4d92-b4a8-9c52232dc74e
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8
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Movie genome: alleviating new item cold start in movie recommendation, file a3d709d0-a7c7-4fe1-8d62-b79d4f04253d
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8
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Offline Evaluation of Recommender Systems in a User Interface With Multiple Carousels, file b32d31ad-047f-477e-a793-b4b8f9ca82d7
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8
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Feature selection for Recommender Systems with Quantum Computing, file 00451ac2-3fe6-460c-993a-2255649d9b1f
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7
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Demonstrating the Equivalence of List Based and Aggregate Metrics to Measure the Diversity of Recommendations (Student Abstract), file 4a6bd326-e708-4a32-9409-fe5d77ced032
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6
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Deriving Item Features Relevance from Collaborative Domain Knowledge, file abca2c51-dd89-419e-800d-19ef61ad8a18
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6
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Feature Selection via Quantum Annealers for Ranking and Classification Tasks, file c22c43a9-8a44-4163-a3b4-157916c73b36
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6
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Eigenvalue Analogy for Confidence Estimation in Item-Based Recommender Systems, file 073409c5-6cf0-4c84-8cdc-4a74d90a20c1
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4
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Replication of Recommender Systems with Impressions, file 313e7471-6857-47ac-89ec-58a10dff1e68
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4
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Replication of collaborative Filtering Generative Adversarial Networks on Recommender Systems, file 5f507f2b-474c-458e-b78a-b7062c57b249
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4
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A Novel Graph-based Model for Hybrid Recommendations in Cold-start Scenarios, file 9e5027cc-4690-46ba-a37e-bf2fd3dd5cdf
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3
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Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features, file a527a66d-1ff9-4c84-b13d-6e7776a1643e
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3
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Methodological Issues in Recommender Systems Research (Extended Abstract), file 567f578d-4ce6-48cd-b7a1-e1938c891fa8
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2
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Pessimistic Rescaling and Distribution Shift of Boosting Models for Impression-Aware Online Advertising Recommendation, file bc69b04d-7b89-4436-9a46-6cd412b7b344
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2
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Benchmarking adaptative variational quantum algorithms on QUBO instances (Extended Abstract), file fe9208bb-1e98-4ea3-b970-6b149fc65c86
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2
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| Totale |
866 |