Abstract: An exhibiting method of NFT product includes: sorting multiple NFT products according to the price of each NFT product to generate a first NFT product price sequence table; analyzing the first NFT product price sequence table according to the rarity ranking to generate a second NFT product price sequence table; making the rarity rankings of the next NFT products are all prior to the rarity rankings of the previous NFT products to generate a third NFT product price sequence table according to the second NFT product price sequence table and rarity rankings; defining multiple sections on the website according to the number of NFT products in the third NFT product price sequence table, each section includes multiple blocks; and displaying the NFT products located in the third NFT product price table sequentially in the first block of each section.

Abstract: An information retrieval method is provided, applicable to a database. The database includes a plurality of pieces of information and a plurality of index tags, and each of the pieces of information is associated with at least one of the index tags. The information retrieval method includes: receiving a piece of retrieval information; extracting pieces of first information associated with the retrieval information from the pieces of information of the database; extracting a plurality of first index tags corresponding to the pieces of first information from the index tags; requesting a display field of a first index tag to be adjacent to or located in a display field or display page of first information corresponding to the first index tag; receiving a filter tag selected from the first index tags; and extracting pieces of second information associated with the filter tag from the pieces of first information.

Abstract: An information retrieval method is provided, applicable to a database. The database includes a plurality of pieces of information and a plurality of index tags, and each of the pieces of information is associated with at least one of the index tags. The information retrieval method includes: receiving a piece of retrieval information; extracting pieces of first information associated with the retrieval information from the pieces of information of the database; extracting a plurality of first index tags corresponding to the pieces of first information from the index tags; requesting a display field of a first index tag to be adjacent to or located in a display field or display page of first information corresponding to the first index tag; receiving a filter tag selected from the first index tags; and extracting pieces of second information associated with the filter tag from the pieces of first information.

Abstract: A system, method and user apparatus dynamically reclassify and retrieve target information object(s) among multiple information objects stored on a memory. Multiple attribute classifiers are corresponsive to the information objects. Displayable dynamical reclassifying hints (DRHs) are provided according to user input signal(s). When a first attribute classifier is determined by a central processing unit according to the user input signal, second attribute classifier(s) is determined and combined with one of the attribute classifiers together visibly on a display unit; wherein the second attribute classifier and the combined one of attribute classifier corresponds to same one(s) of the information objects.

Abstract: A system, method and user apparatus dynamically reclassify and retrieve target information object(s) among multiple information objects stored on a memory. Multiple attribute classifiers are corresponsive to the information objects. Displayable dynamical reclassifying hints (DRHs) are provided according to user input signal(s). When a first attribute classifier is determined by a central processing unit according to the user input signal, second attribute classifier(s) is determined and combined with one of the attribute classifiers together visibly on a display unit; wherein the second attribute classifier and the combined one of attribute classifier corresponds to same one(s) of the information objects.