Showing cs.IRShow all
3 papers · 1 filter
cs.IR2026
Task-Adaptive Retrieval over Agentic Multi-Modal Web Histories via Learned Graph Memory
Saman Forouzandeh, Kamal Berahmand, Mahdi Jalili
Retrieving relevant observations from long multi-modal web interaction histories is challenging because relevance depends on the evolving task state, modality (screenshots, HTML te…
cs.IR2025
Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems
Saman Forouzandeh, Pavel N. Krivitsky, Rohitash Chandra
Recommender systems leveraging deep learning models have been crucial for assisting users in selecting items aligned with their preferences and interests. However, a significant ch…
cs.IR2020
Presentation of a Recommender System with Ensemble Learning and Graph Embedding: A Case on MovieLens
Saman Forouzandeh, Mehrdad Rostami, Kamal Berahmand
Information technology has spread widely, and extraordinarily large amounts of data have been made accessible to users, which has made it challenging to select data that are in acc…