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Explainable Entity-based Recommendations with Knowledge Graphs

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arxiv 1707.05254 v1 pith:Y6LGV4ZI submitted 2017-07-12 cs.IR cs.CL

Rose Catherine , Kathryn Mazaitis , Maxine Eskenazi , William Cohen This is my paper · ORCID
classification cs.IRcs.CL
keywords explanationsknowledgeexplainablegraphsitemsrecommendationsbeencontent
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Explainable recommendation is an important task. Many methods have been proposed which generate explanations from the content and reviews written for items. When review text is unavailable, generating explanations is still a hard problem. In this paper, we illustrate how explanations can be generated in such a scenario by leveraging external knowledge in the form of knowledge graphs. Our method jointly ranks items and knowledge graph entities using a Personalized PageRank procedure to produce recommendations together with their explanations.

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  1. CARTS: Collaborative Agents for Recommendation Textual Summarization

    cs.IR 2025-06 conditional novelty 4.0 of 10

    CARTS is a multi-agent LLM pipeline for generating e-commerce carousel titles, and it reports gains over single-shot LLM baselines in offline relevance and online engagement metrics.

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