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ENTITY Rating Prediction for Software Developers by Integrating OSS Community and Crowd Sourcing

Rating Prediction for Software Developers by Integrating OSS Community and Crowd Sourcing

PulseAugur coverage of Rating Prediction for Software Developers by Integrating OSS Community and Crowd Sourcing — every cluster mentioning Rating Prediction for Software Developers by Integrating OSS Community and Crowd Sourcing across labs, papers, and developer communities, ranked by signal.

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RECENT · PAGE 1/1 · 2 TOTAL
  1. TOOL · CL_300869 ·

    New benchmark evaluates LLMs for recommendation tasks

    A new benchmark, LLMRec, has been developed to evaluate the performance of large language models (LLMs) on recommendation tasks. The benchmark tested several LLMs, including ChatGPT, LLaMA, and ChatGLM, across five diff…

  2. RESEARCH · CL_93406 ·

    Study: Textual Reviews Offer Limited Gains in Recommendation Systems

    A new study published on arXiv investigates the effectiveness of incorporating textual review data into matrix factorization models for recommendation systems. Researchers found that while adaptive fusion mechanisms and…