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SumRecom: A Personalized Summarization Approach by Learning from Users' Feedback
Samira Ghodratnama, Mehrdad Zakershahrak
Existing multi-document summarization approaches produce a uniform summary for all users without considering individuals' interests, which is highly impractical. Making a user-spec…
Adapting LLMs for Efficient, Personalized Information Retrieval: Methods and Implications
Samira Ghodratnama, Mehrdad Zakershahrak
The advent of Large Language Models (LLMs) heralds a pivotal shift in online user interactions with information. Traditional Information Retrieval (IR) systems primarily relied on…
A Personalized Reinforcement Learning Summarization Service for Learning Structure from Unstructured Data
Samira Ghodratnama, Amin Beheshti, Mehrdad Zakershahrak
The exponential growth of textual data has created a crucial need for tools that assist users in extracting meaningful insights. Traditional document summarization approaches often…