activity
20162023
most citedA Deep Generative Model for Molecule Optimization via One Fragment Modification

100 citations · 206 across the 21 of their papers we have counts for

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Showing cs.IRShow all

7 papers · 1 filter

cs.IR2022

Recursive Attentive Methods with Reused Item Representations for Sequential Recommendation

Bo Peng, Srinivasan Parthasarathy, Xia Ning

Sequential recommendation aims to recommend the next item of users' interest based on their historical interactions. Recently, the self-attention mechanism has been adapted for seq…

cs.IR2022★ 1 cited

Prospective Preference Enhanced Mixed Attentive Model for Session-based Recommendation

Bo Peng, Chang-Yu Tai, Srinivasan Parthasarathy +1

Session-based recommendation aims to generate recommendations for the next item of users' interest based on a given session. In this manuscript, we develop prospective preference e…

cs.IR2021

Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems

Athanasios N. Nikolakopoulos, Xia Ning, Christian Desrosiers +1

Collaborative recommendation approaches based on nearest-neighbors are still highly popular today due to their simplicity, their efficiency, and their ability to produce accurate a…

cs.IR2020

Improving information retrieval from electronic health records using dynamic and multi-collaborative filtering

Ziwei Fan, Evan Burgun, Zhiyun Ren +2

Due to the rapid growth of information available about individual patients, most physicians suffer from information overload when they review patient information in health informat…

cs.IR2020★ 15 cited

A Pipeline to Understand Emerging Illness via Social Media Data Analysis: A Case Study on Breast Implant Illness

Vishal Dey, Peter Krasniak, Minh Nguyen +2

Background: A new illness could first come to the public attention over social media before it is medically defined, formally documented or systematically studied. One example is a…

cs.IR2020

Hybrid Collaborative Filtering Models for Clinical Search Recommendation

Zhiyun Ren, Bo Peng, Titus K. Schleyer +1

With increasing and extensive use of electronic health records, clinicians are often under time pressure when they need to retrieve important information efficiently among large am…