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Aug 23, 2005 · This paper suggests Knowledge Management System(KMS) using E-mail. When KMS is constructed through E-mail, the cost of service construction ...
In this paper, we propose an email recommender ... Email Classification Using Supervised Learning Algorithms ... Khurum, N.J.: Automatic Personalized Spam Filtering ...
Dec 28, 2019 · With Recommendation Systems, the application can predict and recommend products, movies, services to user based on users earlier behavior such ...
Jul 28, 2022 · When users send an email to the service desk, they receive an auto-reply that contains links to 1-3 relevant BMC Helix Knowledge Management by ...
Apr 18, 2024 · The article outlines the general idea and limitations, and explains the best practical approaches on how to build a NLP-based recommendation ...
Jul 31, 2023 · The basic models for recommender systems work with two kinds of data: user-item interactions, such as ratings and buying behavior, and attribute ...
Apr 26, 2021 · This solution uses AI to automatically deliver content to bank employees when and where they need it. The Brain was built on a graph database ...
Jun 20, 2023 · Our project entails the development of an automated system that delivers personalized research paper recommendations to users via email.
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A Recommendation Engine that learns directly from businesses as well as customers across website and email touchpoints, results in a “customized algorithm” that ...
Each activity defines a distinct work context with different information needs. In this paper we leverage users' activity representations, stored in an activity ...
Predict customers’ next purchase through deep learning and journey-aware recommendations. Superior recommendation algorithms with...