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Context-based Entity Recommendation for Knowledge Workers: Establishing a Benchmark on Real-life Data

Published: 08 October 2024 Publication History

Abstract

In recent decades, Recommender Systems (RS) have undergone significant advancements, particularly in popular domains like movies, music, and product recommendations. Yet, progress has been notably slower in leveraging these systems for personal information management and knowledge assistance. In addition to challenges that complicate the adoption of RS in this domain (such as privacy concerns, heterogeneous recommendation items, and frequent context switching), a significant barrier to progress in this area has been the absence of a standardized benchmark for researchers to evaluate their approaches. In response to this gap, this paper presents a benchmark built upon a publicly available dataset of Real-Life Knowledge Work in Context (RLKWiC). This benchmark focuses on evaluating context-based entity recommendation, a use case for leveraging RS to support knowledge workers in their daily digital tasks. By providing this benchmark, it is aimed to facilitate and accelerate research efforts in enhancing personal knowledge assistance through RS.

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MP4 File - Context-based Entity Recommendation for Knowledge Workers: Establishing a Benchmark on Real-life Data _ short introduction video
A short video briefly introducing the contribution of the paper titled "Context-based Entity Recommendation for Knowledge Workers: Establishing a Benchmark on Real-life Data" presented at the Reproducibility Track of ACM RecSys 2024.

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  • (2024)Supporting Knowledge Workers through Personal Information Assistance with Context-aware Recommender SystemsProceedings of the 18th ACM Conference on Recommender Systems10.1145/3640457.3688010(1296-1301)Online publication date: 8-Oct-2024

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            cover image ACM Conferences
            RecSys '24: Proceedings of the 18th ACM Conference on Recommender Systems
            October 2024
            1438 pages
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            Published: 08 October 2024

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            Author Tags

            1. Context awareness
            2. Entity recommendation
            3. Knowledge work support
            4. Personal information management
            5. Personal knowledge assistance

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            • (2024)Supporting Knowledge Workers through Personal Information Assistance with Context-aware Recommender SystemsProceedings of the 18th ACM Conference on Recommender Systems10.1145/3640457.3688010(1296-1301)Online publication date: 8-Oct-2024

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