RECOMMENDATION Definition & Meaning - Merriam-Webster
The meaning of RECOMMENDATION is the act of recommending. How to use recommendation in a sentence.
Creator-Side Recommender System: Challenges, Designs, and Applications
Users and creators are two crucial components of recommender systems. Typical recommender systems focus on the user side, providing the most suitable items based on each user's request. In such scenarios, a few items receive a majority of exposures,...
jadianes/winerama-recommender-tutorial
A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap. (⭐ 347)
A Survey on Session-based Recommender Systems
Recommender systems (RSs) have been playing an increasingly important role for informed consumption, services, and decision-making in the overloaded information era and digitized economy. In recent years, session-based recommender systems (SBRSs) hav...
Counterfactual Explainable Recommendation
By providing explanations for users and system designers to facilitate better understanding and decision making, explainable recommendation has been an important research problem. In this paper, we propose Counterfactual Explainable Recommendation (C...
Recommended Records - Wikipedia
established November Books, the publishing wing of Recommended Records, and between 1985 and 1997, Recommended Records and November Books published RēR Quarterly
Willingness to recommend - Wikipedia
Willingness to recommend is a metric related to customer satisfaction. When a customer is satisfied with a product, he or she might recommend it to friends
Collective Mobile Sequential Recommendation: A Recommender System for Multiple Taxicabs
Mobile sequential recommendation was originally designed to find a promising route for a single taxicab. Directly applying it for multiple taxicabs may cause an excessive overlap of recommended routes. The multi-taxicab recommendation problem is chal...
daolf/Most-recommended-programming-books
The most recommended programming books of all-time. (⭐ 1366)
Quality-aware News Recommendation
News recommendation is a core technique used by many online news platforms. Recommending high-quality news to users is important for keeping good user experiences and news platforms' reputations. However, existing news recommendation methods mainly a...
A Novel Position-based VR Online Shopping Recommendation System based on Optimized Collabo…
This paper proposes a VR supermarket with an intelligent recommendation, which consists of three parts. The VR supermarket, the recommendation system, and the database. The VR supermarket provides a 360-degree virtual environment for users to move an...
Family Shopping Recommendation System Using User Profile and Behavior Data
With the arrival of the big data era, recommendation system has been a hot technology for enterprises to streamline their sales. Recommendation algorithms for individual users have been extensively studied over the past decade. Most existing recommen...
Yunanouv/Skin-Care-Recommender-System
Skin Care Recommender System Based on Skin Problems Using Content-Based Filtering (⭐ 23)
CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems
Recommender systems play a pivotal role in providing relevant content to users. With the rapid development of large language models (LLMs), researchers have begun utilizing LLMs to build more powerful recommender systems. However, existing approaches...
Towards Bridging the Cross-modal Semantic Gap for Multi-modal Recommendation
Multi-modal recommendation greatly enhances the performance of recommender systems by modeling the auxiliary information from multi-modality contents. Most existing multi-modal recommendation models primarily exploit multimedia information propagatio...
Bill-Klay/Skincare-Recommendation-Android-Application
Skincare recommendation android application that uses dataset from Kaggle and scrapped data from cosmetics websites to work a Tf-IDF vectorizer for content based filtering, and KNN and Decision trees for collaborative based filtering. The notebook also contains other approaches f…
MealRec$^+$: A Meal Recommendation Dataset with Meal-Course Affiliation for Personalizatio…
Meal recommendation, as a typical health-related recommendation task, contains complex relationships between users, courses, and meals. Among them, meal-course affiliation associates user-meal and user-course interactions. However, an extensive liter...
Heterogeneous Information Network-based Interest Composition with Graph Neural Network for…
Heterogeneous information networks (HINs) are widely applied to recommendation systems due to their capability of modeling various auxiliary information with meta-paths. However, existing HIN-based recommendation models usually fuse the information f...
decodingai-magazine/personalized-recommender-course
? Open-source course on architecting, building and deploying a real-time personalized recommender for H&M fashion articles. (⭐ 631)
Recommendation 1333 (1997) - Wikipedia
Recommendation 1333 (1997) on the Aromanian culture and language, often simply referred to as Recommendation 1333 (1997) (Aromanian: Recomandarea 1333