Abstract: A method for recommending bookmark data includes receiving a bookmark data set from a user terminal of a user, the bookmark data set including a main topic and a plurality of sub-topics, each of which includes a sub-title and a plurality of URLs; assigning a bookmark eigenvalue for the bookmark data set; and determining and transmitting another bookmark data set similar to the bookmark data set or another sub-topic similar to a sub-topic included in the bookmark data set to the user. The recommendation is made based on the bookmark eigenvalue, which is determined by assigning a URL eigenvalue for each URL included in each sub-topic by analyzing a web page that corresponds to the URL; assigning a sub-title eigenvalue for the sub-title of each sub-topic; and assigning a sub-topic eigenvalue in consideration of the URL eigenvalue and the sub-title eigenvalue.

Abstract: A content curation system includes a communication module that receives search information associated with web content searched in a device of at least one user, wherein the at least one user comprises at least a first user and a second user; a metadata generation module that generates metadata corresponding to the search information received by the communication module based on a predetermined classification method; a similarity evaluation module that evaluates similarity between the search information based on the search information and the metadata; a relationship defining module that evaluates proximity between users based on the similarity; and a recommendation module that that extracts search information from the second user, wherein the extracted search information satisfies predetermined recommendation conditions among the search information retrieved by the second user who has the proximity equal to or greater than a predetermined reference proximity with respect to the first user.

Abstract: Systems and methods for an enhanced online research are described. In exemplary embodiments, the enhanced research platform receives one or more keywords, and determines a research goal by parsing each of the keywords and identifying a category for each of the keywords. The enhanced research platform then queries a database to identify results matching the keywords based on analysis of the keywords and the research goal, and displays the identified results in a user interface.

Abstract: Systems and methods for an enhanced online research are described. In exemplary embodiments, the enhanced research platform receives one or more keywords, and determines a research goal by parsing each of the keywords and identifying a category for each of the keywords. The enhanced research platform then queries a database to identify results matching the keywords based on analysis of the keywords and the research goal, and displays the identified results in a user interface.

Abstract: Systems and methods for an enhanced online research are described. In exemplary embodiments, the enhanced research platform receives one or more keywords, and determines a research goal by parsing each of the keywords and identifying a category for each of the keywords. The enhanced research platform then queries a database to identify results matching the keywords based on analysis of the keywords and the research goal, and displays the identified results in a user interface.