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Last.fm is a music website founded in the United Kingdom in 2002. Utilizing a music recommender system known as "Audioscrobbler", Last.fm creates a detailed profile of each user's musical preferences by recording the details of the tracks they listen to, whether from Internet radio stations or from the user's computer or portable music devices. This…
The analysis highlights History, Art, Measurement and Companies as prominent areas in the source structure around Last.fm.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Last.fm shows recurring relationship patterns in the source. For example, Last.fm → API, Audioscrobbler, Computer Science, Electronics, Europrix, Felix Miller, FM, Initially, Internet, Jones, Last, Martin Stiksel, Michael Breidenbruecker, Micronesia, Prix Ars Electronica, Richard Jones, Southampton School, The, Thomas Willomitzer, United Kingdom Another extracted example is Last.fm → Adobe Flash, An, August, GNU General Public License, However, HTML5-enabled, It, Last, Linux, Mac OS, Microsoft Windows, Player, Prior, The, The Last, This. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
last fm users radio music tracks player profile website new artists artist also stations may user's cbs played audioscrobbler track
TTTA extracted 180 structured relationships around Last.fm. Examples in this analysis include Last.fm → Commercial → Yes and Last.fm → Created by → Felix Miller, Martin Stiksel, Michael Breidenbruecker, Thomas Willomitzer, Richard Jones. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Last.fm | Commercial | Yes | 1.00 | infobox |
| Last.fm | Created by | Felix Miller, Martin Stiksel, Michael Breidenbruecker, Thomas Willomitzer, Richard Jones | 1.00 | infobox |
| Last.fm | Current status | Active | 1.00 | infobox |
| Last.fm | Founded | United Kingdom | 1.00 | infobox |
| Last.fm | Launched | 20 March 2002; 24 years ago (2002-03-20) | 1.00 | infobox |
| Last.fm | Owner | Independent (2002–2007; 2026–present) CBS Interactive (2007–2021) Paramount Streaming (2021–2025) Paramount Skydance (2025–2026) | 1.00 | infobox |
| Last.fm | Registration | Free, with optional subscription | 1.00 | infobox |
| Last.fm | Type of site | Online music database, music recommendation, events, statistics, social networking service | 1.00 | infobox |
| Last.fm | URL | last.fm | 1.00 | infobox |
| Last.fm | founded in | 2002 | 0.95 | text |
| Last.fm | founded by | Felix Miller | 0.90 | text |
| Last.fm | is a | music website founded in the United Kingdom in 2002 | 0.90 | text |
| Last.fm | is a | semi-automatic weekly generation and archiving of detailed personal music charts and statistics | 0.90 | text |
The concept neighborhoods around Last.fm bring nearby vocabulary together. In this analysis, examples include Last, Music and Radio. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Last.fm, one of the stronger structural bridges in this analysis connects Last.fm with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Last.fm to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Art, Measurement & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Last.fm · EN edition · Analysis: TopicsToTalkAbout