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Social search is a behavior of retrieving and searching on a social searching engine that mainly searches user-generated content such as news, videos and images related search queries on social media like Facebook, LinkedIn, Twitter, Instagram and Flickr. [1] It is an enhanced version of web search that combines traditional algorithms. The idea ...
According to Jeremy Munday's definition of translation, "the process of translation between two different written languages involves the changing of an original written text (the source text or ST) in the original verbal language (the source language or SL) into a written text (the target text or TT) in a different verbal language (the target ...
Most online people-finder sites charge a small service fee, and the results are based on a standard algorithm that searches through social media networks and other search engines.
The original idea of aggregating social media results came from Tang. The four founders developed the idea in early 2006, using Tang's parents’ basement. [ 4 ] On November 5, 2006, the site officially launched, after attracting an initial round of angel investment in the "low hundreds of thousands" according to co-founder Ray Chen.
Many languages inflect words to reflect their role in the utterance they appear in. The variation between various forms of a word is likely to be of little importance for the relatively coarse-grained model of meaning involved in a retrieval system, and for this reason the task of conflating the various forms of a word is a potentially useful technique to increase recall of a retrieval system.
People typically use "DNI" on social media as a warning to the people who are scrolling through their content, calling out certain groups that they do not want browsing their feed.
Specialized translation is a term and concept used in the translation business and in translation schools. A text to be translated is specialized if translating it calls for knowledge in some field that would not normally be part of a translator's or translation student's general knowledge.
In search engines on social networking platforms like Facebook or LinkedIn, personalization could be achieved by exploiting homophily between searchers and results. [14] For example, in People search, searchers are often interested in people in the same social circles, industries or companies.