Recommender Systems for Sustainability and Social Good, Kartoniert / Broschiert
Recommender Systems for Sustainability and Social Good
- First International Workshop, RecSoGood 2024, Bari, Italy, October 18, 2024, Proceedings
(soweit verfügbar beim Lieferanten)
- Herausgeber:
- Ludovico Boratto, Allegra de Filippo, Elisabeth Lex, Francesco Ricci
- Verlag:
- Springer, 04/2025
- Einband:
- Kartoniert / Broschiert
- Sprache:
- Englisch
- ISBN-13:
- 9783031876530
- Artikelnummer:
- 12265838
- Umfang:
- 172 Seiten
- Gewicht:
- 271 g
- Maße:
- 235 x 155 mm
- Stärke:
- 10 mm
- Erscheinungstermin:
- 9.4.2025
- Serie:
- Communications in Computer and Information Science - Band 2470
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Weitere Ausgaben von Recommender Systems for Sustainability and Social Good |
Preis |
|---|---|
| Buch, Kartoniert / Broschiert, Englisch | EUR 65,71* |
Klappentext
.- Sustainable Development Goals; Energy and Carbon Efficiency; and conceptualizations of diversity..
.- Decoupled Recommender Systems: Exploring Alternative Recommender Ecosystem Designs.
.- Enhancing Tourism Recommender Systems for Sustainable City Trips Using Retrieval-Augmented Generation.
.- Simulating the Impact of Recommendation Salience on Tourists Experienced Utility.
.- Knowledge Data Modeling in Food Recommendation: A Case Study on Nutritional Values.
.- Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach.
.- Green Recommender Systems: Optimizing Dataset Size for Energy-Efficient Algorithm Performance.
.- EMERS: Energy Meter for Recommender Systems.
.- e-Fold Cross-Validation for Recommender-System Evaluation.
.- RecSys CarbonAtor: Predicting Carbon Footprint of Recommendation System Models.
.- Eco-Aware Graph Neural Networks for Sustainable Recommendations.
.- 14 Kg of CO2: Analyzing the Carbon Footprint and Performance of Session-Based Recommendation Algorithms.
.- From Explanation to Exploration: promoting DivErsity in Recommendation Systems.
.- Effects of Representation Nudges on the Perception of Playlist Recommendations.
Biografie (Francesco Ricci)
Francesco Ricci is the recipient of numerous academic awards and scholarships. Aside from academic research, Mr. Ricci's industrial experience includes short tenures at Air Products and Chemicals, Inc. and Bristol-Myers Squibb. He has lectured at the undergraduate level on chemical engineering thermodynamics as well as on reactor design.
