Abstract: A display substrate and a method of manufacturing the display substrate are provided. The display substrate includes a base substrate and a plurality of sub-pixels. A first electrode of a light-emitting element of the sub-pixel includes: a first conductive layer electrically connected to a source or a drain of a driving transistor of the sub-pixel; a second conductive layer; and a transparent material layer. The transparent material layer includes a first transparent material sub-layer and a second transparent material sub-layer, the first transparent material sub-layer is between the second transparent material sub-layer and the second conductive layer, the second transparent material sub-layer covers the first transparent material sub-layer, and an edge of the first transparent material sub-layer is aligned with an edge of the second conductive layer.

Abstract: A display substrate and a method of manufacturing the display substrate are provided. The display substrate includes a base substrate and a plurality of sub-pixels (Pxl). A first electrode of a light-emitting element of the sub-pixel (Pxl) includes: a first conductive layer electrically connected to a source (S) or a drain (D) of a driving transistor of the sub-pixel (Pxl); a second conductive layer; and a transparent material layer. The transparent material layer includes a first transparent material sub-layer and a second transparent material sub-layer, the first transparent material sub-layer is between the second transparent material sub-layer and the second conductive layer, the second transparent material sub-layer covers the first transparent material sub-layer, and an edge of the first transparent material sub-layer is aligned with an edge of the second conductive layer.

Abstract: A method and a system for recommending a target garment matching an inputted garment. The method includes: extracting attributes from text description and image of the inputted garment to obtain extracted attributes; querying a knowledge graph using the extracted attributes to obtain matched attributes; retrieving candidate products from a garment pool using the matched attributes; extracting features from the inputted garment and the candidate products; determining the target garment from the candidate products based on grading scores between the features of the inputted garment and the features of the candidate products; and recommending the target garment. The knowledge graph includes nodes corresponding to type of clothes, category of clothes, attribute keys, values of attribute keys, context keys, values of context keys, combination of the values of the attribute keys and the type of clothes, and combination of the value of the attribute keys and the category of clothes.

Abstract: A method and a system for recommending a target garment matching an inputted garment. The method includes: extracting attributes from text description and image of the inputted garment to obtain extracted attributes; querying a knowledge graph using the extracted attributes to obtain matched attributes; retrieving candidate products from a garment pool using the matched attributes; extracting features from the inputted garment and the candidate products; determining the target garment from the candidate products based on grading scores between the features of the inputted garment and the features of the candidate products; and recommending the target garment. The knowledge graph includes nodes corresponding to type of clothes, category of clothes, attribute keys, values of attribute keys, context keys, values of context keys, combination of the values of the attribute keys and the type of clothes, and combination of the value of the attribute keys and the category of clothes.

Abstract: A method and system for generating an article of a product. The method includes: receiving a request from a user; when the request include an identification of the product, retrieving traits of the product from a trait database, when the request include keywords, retrieving the traits of the product by comparing the similarity between the keywords and the traits or the synonym of the traits; generating candidate sentences corresponding to the traits; selecting sentences from the candidate sentences, and revising and rearranging the sentences to generate the article.

Abstract: A method and system for generating an article of a product. The method includes: receiving a request from a user; when the request include an identification of the product, retrieving traits of the product from a trait database, when the request include keywords, retrieving the traits of the product by comparing the similarity between the keywords and the traits or the synonym of the traits; generating candidate sentences corresponding to the traits; selecting sentences from the candidate sentences, and revising and rearranging the sentences to generate the article.