Iterative Search for Selecting Web-Pages to Construct Personal Profiles
Artur Harkovchuk, Dmitry Georzhevich Korzun · Zenodo (CERN European Organization for Nuclear Research) · 2021
Internet content provides much information about a particular person, especially related to her/his activity reflected in social networks as web-pages or attached files. The problem is to find such information for a given person and for given search query constraints. A lot of data sources have to be analyzed to find information to construct digital persons profile. In this paper, we consider iterative Internet search algorithm that generates multiple search queries and evaluates the found links on the relation level to the given person. A rank is computed for each link that shows the relation level to the given person. Our experiments show that the method finds links among which 75% or more is essentially related to the person. When the content of a link is further analyzed (e.g., parsing) the search quality increases to 90% and more.