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Enhancing Performance through an Adaptive Recommender System for Organizations

This document explores the development of a recommender system designed to optimize organizational performance. It details how agents within the system (Agent-1, Agent-2, ... Agent-n) contribute to information quality by evaluating error probabilities and task outcomes. The framework integrates various knowledge and social networks to ensure that individual results align with organizational goals. By harnessing advanced algorithms, this system aims to improve decision-making processes and drive effective strategies in organizations.

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Enhancing Performance through an Adaptive Recommender System for Organizations

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  1. = ? Organization Performance 1 Agent-1 0 1 0 .5 1 0 Ag-1 0 1 Ag-2 Agent-2 1 0 1 1 ... 0 0 Ag-n ... ... “recommender” system 0 1 Agent-k 1 .5 1 ... Error Probability (information Quality) ... Agent-n 0 1 Information Items Task Expected result Org. Result Knowledge Network Social Network Individual Results

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