Abstract: System, apparatus, user equipment, and associated computer program and computing methods are provided for suggesting websites that are relevant based on the user's browsing history and past search results. In one aspect, a hosted computer application stores the user's browsing history and search results using a cloud-based storage facility, and computing methods, using machine learning techniques, are operative to predict websites the user may want to visit next. Example machine learning techniques may be configured to identify patterns and map data elements in order to predict which website(s) the user might like to visit in a search/browsing session. The training of example machine learning techniques is driven by user interaction, e.g., allowing the removal of non-relevant or less relevant websites from the suggested websites via a suitable user interface.

Abstract: System, apparatus, user equipment, and associated computer program and computing methods are provided for suggesting websites that are relevant based on the user's browsing history and past search results. In one aspect, a hosted computer application stores the user's browsing history and search results using a cloud-based storage facility, and computing methods, using machine learning techniques, are operative to predict websites the user may want to visit next. Example machine learning techniques may be configured to use non-parsed and unstructured data to identify patterns and map hundreds of thousands of data elements, to predict which website(s) the user might like to visit in a search/browsing session. Example machine learning techniques may be further operative to recognize patterns and analyze data at each interaction with the user.