A social search engine is a type of
search engine that determines the relevance of
search results by considering the interactions or contributions of users. Example forms of user input include
social bookmarking or direct interaction with the search results such as promoting or demoting results the user feels are more or less relevant to their query. When applied to
Web search this user-based approach to relevance is in contrast to established algorithmic or machine-based approaches where relevance is determined by analyzing the text of each document or the link structure of the documents (ex: the basis of
PageRank). 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.
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