Sound Verdict

Evidence map

Recommendation: what the evidence base looks like

12 publications, 0 of them trials and 0 syntheses. This page describes the shape of that literature rather than summarising its conclusions.

Updated 3 min read 12 citations

What the evidence on recommendation is made of Of 12 publications on this topic, the breakdown by study type: 12 other. 12other (12)
12 publications, by study type. Volume is not strength — the same count can be a settled question or a pile of commentary, and which one it is depends almost entirely on this breakdown. Harvested from PubMed and Crossref; publication type as recorded by the source.

What this literature is made of

A reasonable volume of literature, but weighted towards reviews and observational work rather than trials. That is enough to describe a phenomenon and rarely enough to establish that an intervention works.

The distinction that matters most is between synthesis and primary research. A meta-analysis pools trials and is the closest thing to a settled answer a field produces. A narrative review is one group's reading of the same material and can be selective without being dishonest. Counting them together, which most citation counts do, obscures exactly the thing you want to know.

When the recommendation literature was published Publication years for the 12 papers on this topic, grouped into bands from before 2015 through to 2023 onwards. 2023 onwards9 papers2020-20222 papers2015-20191 papers
Still active. The most recent paper here is from 2026, so this is a field where an answer written today may not hold for long. Publication years as recorded by PubMed and Crossref.

How this page is built

Everything above is computed from the citations this site harvested from PubMed and Crossref, not written by hand. When the weekly harvest finds a new paper on this topic, these counts change and the characterisation changes with them. That is the point: a hand-written claim about how strong an evidence base is starts decaying the day it is written.

Publication type is taken as the source records it. That is imperfect — journals label inconsistently, and a paper indexed as a "review" may be a systematic one — so treat the bands as approximate. They are accurate enough to distinguish a trial literature from a commentary literature, which is the distinction that matters.

The strongest work on this topic

Ordered by study design first, then recency. The full set is listed in the references below.

  1. Streaming Uniformity and Language Diversity on Netflix and Prime Video Streaming Platforms — Florea S, 2026, journal article
  2. Aura Music: A Scalable Personalized Music Streaming System Using Time-Weighted Recommendation and Hybrid Filtering — Vardhan T, 2026, journal article
  3. Algorithmic neogeneralism in streaming platforms: recommender systems and content strategy — Pescatore G, 2026, journal article
  4. Promoting Unfamiliar Music Through Data Science: MARS, the Music Affect Recommender System for Digital Library Engagement — Bainbridge D, Dean R, 2025, journal article
  5. ENGINEERED INEQUALITY: MUSICAL TAXONOMIES AND STREAMING RECOMMENDER SYSTEMS — Campos Valverde R, 2025, journal article
  6. Diversity and Serendipity Preference-Aware Recommender System — Yin K, Zhao J, 2024, journal article
  7. Rethinking the filter bubble? Developing a research agenda for the protective filter bubble — Erickson J, 2024, journal article
  8. Music Recommender System using Autorec Method for Implicit Feedback — Irawan M, Baizal Z, 2023, journal article
  9. Music Recommender System Based on Play Count Using Singular Value Decomposition++ — Ramadhan M, Wibowo A, 2023, journal article
  10. Music Recommender System Using ChatBot — Sakore S, 2021, journal article
How much research is there on recommendation?
12 publications are indexed here, of which 0 are trials and 0 are syntheses.
Does more research mean a stronger conclusion?
No. Composition matters more than volume — five randomised trials support a claim far better than fifty commentaries, and citation counts do not distinguish between them.
How current is this?
The most recent paper indexed here is from 2026. The set is refreshed weekly from PubMed and Crossref.
Why does this page not tell me the answer?
Because summarising a literature into a conclusion requires reading it, and doing that automatically is how confident nonsense gets published. This page tells you how much weight a conclusion could bear; the articles on this site do the interpreting.

References

Every citation below links to the original peer-reviewed record on PubMed or via DOI. Nothing here is a substitute for medical advice.

  1. Aura Music: A Scalable Personalized Music Streaming System Using Time-Weighted Recommendation and Hybrid Filtering Vardhan T · International Journal for Research in Applied Science and Engineering Technology · 2026 · Journal article DOI
  2. Algorithmic neogeneralism in streaming platforms: recommender systems and content strategy Pescatore G · Frontiers in Communication · 2026 · Journal article DOI
  3. Streaming Uniformity and Language Diversity on Netflix and Prime Video Streaming Platforms Florea S · Historia y Comunicación Social · 2026 · Journal article DOI
  4. Promoting Unfamiliar Music Through Data Science: MARS, the Music Affect Recommender System for Digital Library Engagement Bainbridge D, Dean R · Leonardo · 2025 · Journal article DOI
  5. ENGINEERED INEQUALITY: MUSICAL TAXONOMIES AND STREAMING RECOMMENDER SYSTEMS Campos Valverde R · AoIR Selected Papers of Internet Research · 2025 · Journal article DOI
  6. Rethinking the filter bubble? Developing a research agenda for the protective filter bubble Erickson J · Big Data & Society · 2024 · Journal article DOI
  7. Diversity and Serendipity Preference-Aware Recommender System Yin K, Zhao J · Journal of Computational and Cognitive Engineering · 2024 · Journal article DOI
  8. Music Recommender System using Autorec Method for Implicit Feedback Irawan M, Baizal Z · JURNAL MEDIA INFORMATIKA BUDIDARMA · 2023 · Journal article DOI
  9. Music Recommender System Based on Play Count Using Singular Value Decomposition++ Ramadhan M, Wibowo A · JURNAL MEDIA INFORMATIKA BUDIDARMA · 2023 · Journal article DOI
  10. Music Recommender System Using ChatBot Sakore S · International Journal for Research in Applied Science and Engineering Technology · 2021 · Journal article DOI
  11. Critique Generation to Increase Diversity in Conversational Recipe Recommender System Abbas F, Najjar N, Wilson D · The International FLAIRS Conference Proceedings · 2021 · Journal article DOI
  12. Encouraging Attention and Exploration in a Hybrid Recommender System for Libraries of Unfamiliar Music Taylor J, Dean R · Music & Science · 2019 · Journal article DOI