: Vocabulaire du TAL: recommendation system

applied NLP > information filtering > automatic recommendation > recommendation system

recommendation system

An infomation system that assists consumers in making product choices by providing recommendations of the range of products and services. (Adapted from Knotzer, Product Recommendations in E-Commerce Retailing Applications)

Our approach involves the use of content-based and collaborative filtering techniques to enhance the performance of the recommendation system. (Dang, Nguyen, Ziems & Jiang, 2023)
Recommender systems are tailored to individual user interests. (Reuver, Fokkens & Verberne, 2021)
The current recommendation system incrementally collects annotated text spans from sentences that have been labeled thus gaining a dynamically growing lexicon. (Yang, Zhang, Li & Li, 2018)
To address this challenge we explore the integration of discourse information from various subreddit communities using embedding techniques to develop an effective recommendation system. (Dang, Nguyen, Ziems & Jiang, 2023)
To the best of our knowledge this is the first study that comprehensively examines the effects and quality of LLM reasoning for personalized RecSys tasks. (Tsai, Kraft, Jin, Cai, Hosseini, Xu, Zhang, Hong, Chi & Yi, 2024)

http://data.loterre.fr/ark:/67375/8LP-JRVJW39B-N

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