On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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3 results for “behavior-aware”

The Graph-Based Behavior-Aware Recommendation for Interactive Newscs.IR

Proposes a graph-based system for personalized news recommendation considering multiple user behaviors.

problem Lack of considering multiple user behaviors in news recommendation systems.

method Builds an interaction behavior graph, applies DeepWalk and G-CNN for news and behavior sequence representations, introduces core and coritivity features.

result Achieves personalized news recommendation considering user's concentration degree of interests.

news recommendation behavior-aware graph-based DeepWalk G-CNN

2018-11-30abs ↗pdf ↗

SoK: Blockchain Agent-to-Agent Paymentsq-fin.GN

Blockchain helps secure payments between AI agents.

problem Ensuring secure payments between untrusted AI agents.

method Systematized four-stage lifecycle for A2A payments on blockchain.

result Challenges remain in weak intent binding, misuse, and limited accountability.

Blockchain Agent-to-Agent Payments Security AI

2026-04-04abs ↗pdf ↗

Recurrent Expansion: A Pathway Toward the Next Generation of Deep Learningcs.LG

RE enhances DL by learning model behavior, enabling iterative self-improvement.

problem Static data representations limit DL's potential for evolving models.

method RE uses multiple mappings of data through identical deep architectures, analyzing internal representations and performance signals.

result Models can gain insight from predecessors, leading to iterative self-improvement.

Deep Learning Recurrent Expansion Behavioral Learning Self-improvement Feature Maps

2025-07-04abs ↗pdf ↗