3 papers
cs.IR2024
Multilingual Prompts in LLM-Based Recommenders: Performance Across Languages
Makbule Gulcin Ozsoy
Large language models (LLMs) are increasingly used in natural language processing tasks. Recommender systems traditionally use methods such as collaborative filtering and matrix fa…
cs.IR2020
Beyond Next Item Recommendation: Recommending and Evaluating List of Sequences
Makbule Gulcin Ozsoy
Recommender systems (RS) suggest items-based on the estimated preferences of users. Recent RS methods utilise vector space embeddings and deep learning methods to make efficient re…
cs.IR2020
Utilizing FastText for Venue Recommendation
Makbule Gulcin Ozsoy
Venue recommendation systems model the past interactions (i.e., check-ins) of the users and recommend venues. Traditional recommendation systems employ collaborative filtering, con…