User talk:Jpotato0o/sandbox

Social search or a social search engine is an enhanced version of web search that combines traditional algorithm.The idea behind social search is that instead of a machine deciding which pages should be returned for a specific query based upon an impersonal algorithm, results that are based on the human network of the searcher might be more relevant to that specific user's needs. (more general)

Social search may not be demonstrably better than algorithm-driven search. In the algorithmic ranking model that search engines used in the past, relevance of a site is determined after analyzing the text and content on the page and link structure of the document. In contrast, search results with social search highlight content that was created or touched by other users who are in the Social Graph of the person conducting a search. It is a personalized search technology with online community filtering to produce highly personalized results. Social search takes many forms, ranging from simple shared bookmarks or tagging of content with descriptive labels to more sophisticated approaches that combine human intelligence with computer algorithms. Depending on the feature-set of a particular search engine, these results may then be saved and added to community search results, further improving the relevance of results for future searches of that keyword. The principle behind social search is that instead of computer algorithms deciding the results for specific queries, human network oriented results would be more meaningful and relevant for the user. (more professional)

Benefits of social search:
 * The retrieved results would be more relevant to the user and the needs because the results are culled from the content streams of human beings in your social groups.
 * It can help in building a trusted network because social search provides a way to leverage a network of trusted people, relying more upon their own impression about a particular result being good or bad.
 * Since the results are products of human involvement, it can be more helpful and relevant and would also help in bettering computer algorithms to suit different human networks.
 * Negligible spamming occurs through social search, as it is more based on personal feedback.
 * Social search also provides results which are current and up to data with even recent changes because there is a constant feedback loop involved.

Negatives of social search:
 * Users directly add results to a social engine. Therefore, without proper control, users can be abused by the results with search spam.
 * The long search terms are not very suited for social search due to low possibility to fill in all the searches with content users provide or fill in.

Jpotato0o (talk) 04:43, 15 November 2015 (UTC)