Abstract:
An electronic computing device, a personalized information providing method thereof, and a non-transitory machine-readable medium thereof are provided. The electronic computing device establishes a first and a second tree structure data according to a first data of a first user and a second data of a second user arranged in a period respectively by using an ontology construction algorithm, and calculates a similarity between the first and the second tree structure data by using a similarity evaluating algorithm, and then analyzes the similarity to subsume the first and the second tree structure data into a group by using a clustering algorithm. The electronic computing device determines difference between the first and the second tree structure data according to the group and generates recommending information corresponding to the first user which is arranged in the period according to the difference, and then enables a monitor to display the recommending information.
Abstract:
A method for providing article information includes the following steps: an article request for obtaining an article to be read is received through a network from a present client. The article is analyzed to obtain several potential keywords from the article. An internal database is searched to obtain at least one representative keyword, which the potential words belong to, and transformation information between the at least one representative keyword and each potential keyword. A number of search results of the at least one representative keyword is obtained by searching an external database for calculating a number of search results of each potential keyword. Article-related information related to the article is generated according to the number of search results of the potential keywords. The article and the article-related information are combined to generate a web page for being transmitted to the present client through the network.
Abstract:
A photo grouping system includes a photo database, a photo operating module, a photo grouping module, a landmark searching module, and a landmark determining module. The photo database saves a plurality of photos. The photo operating module converts the photos into a plurality of reference codes. The photo grouping module categorizes the photos into a plurality of photo groups according to the reference codes. The landmark searching module searches a landmark photo base on the photo groups. The landmark determining module determines the landmark names of the photo groups based on the landmark photos landmark searching module searched.
Abstract:
A method of ranking place names is disclosed. The method of ranking place names includes providing a plurality of place names, getting a plurality of searching result amounts of place names based on these place names, determining a relative degree between every two place names based on the searching result amounts of the place names, determining a starting place name of the place name ranking based on the relative degree between every two place names, calculating the intersection degree between these place names, and determining the ranking of these place names based on the searching result amounts of the place names, the relative degree between every two place names, the intersection degree between these place names, and the starting place name.