Abstract
Systems and techniques are proposed to infer the language a user has affinity with and to recommend and present media content in that language. The language may be inferred based on the user’s language use in services such as, for example, a search engine, a TV streaming device, a smart TV, and other similar services. The language also may be inferred based on the language of the region a user accesses content from. The inferred language is used to recommend and present media content in the inferred language. For example, the inferred language is used to recommend and present media content in that language on a TV streaming device or a smart TV. The inferred language also may be used to dub media content into that language at runtime on the TV streaming device or the smart TV. Additionally, the inferred language may be used to generate subtitles in that language or to translate existing subtitles into that language for media content on the TV streaming device or the smart TV.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Murugesan, Sundaramoorthy; Mishra, Kanishka; Nayak, Shravan; Kumar, Rajneesh; Niranjan, Kopal; Kanchu, Venkata Gangadhar; Chatterjee, Tamojit; and Tripathi, Nikhilesh, "Inferring User Language To Recommend And Present Media Content In That Language", Technical Disclosure Commons, (March 20, 2024)
https://www.tdcommons.org/dpubs_series/6802