Search results
Results from the WOW.Com Content Network
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]
LinkedIn allows professionals to build exposure for their brand within the site itself and on the World Wide Web as a whole. With a tool that LinkedIn dubs a Profile Strength Meter, the site encourages users to offer enough information in their profile to optimize visibility by search engines. It can strengthen a user's LinkedIn presence if ...
The search engine that helps you find exactly what you're looking for. Find the most relevant information, video, images, and answers from all across the Web. AOL.
For example, someone may have wanted to use a single search feature to check their Facebook, LinkedIn and Twitter accounts without signing in and checking each one individually. [6] Cue acted as a desktop search, indexing online social networking accounts, and thereby creating a "personal cloud." Cue offered a free version that allowed users to ...
Most search engines employ methods to rank the results to provide the "best" results first. How a search engine decides which pages are the best matches, and what order the results should be shown in, varies widely from one engine to another. [35] The methods also change over time as Internet usage changes and new techniques evolve.
TalentBin launches. It is a "search engine" for talented people that picks up their digital tracks (on sites like Stack Exchange) to sell to recruiters. [32] 2013: July 23: Product: LinkedIn announces their Sponsored Updates ad service. Individuals and companies can now pay a fee to have LinkedIn sponsor their content and spread it to their ...
LinkedIn personalizes search results at two levels. [14] LinkedIn federated search exploits user intent to personalize vertical order. For instance, for the same query like "software engineer", depending on whether a searcher has hiring or job seeking intent, he or she is served with either people or jobs as the primary vertical.
In industrial search engines, such as LinkedIn, federated search is used to personalize vertical preference for ambiguous queries. [2] For instance, when a user issues a query like "machine learning" on LinkedIn, he or she could mean to search for people with machine learning skill, jobs requiring machine learning skill or content about the topic.