Jd.com American Technologies Corporation

Beijing Wodong Tianjun Information Technology Co., Ltd.

Min Li

Hui Zhou

Shizhu Liu

Xin Li

Yuhao Zhang

Guanghan Ning

Shanglin Yang

Xiaochuan Fan

Huasong Shan

Huiman Hou

Yuan Chen

Jixing Wang

Yunpeng Zhang

Haifeng Liu

Xiaofeng He

Zizhen Wang

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.

System and method for product recommendation based on multimodal fashion knowledge graph

A system for knowledge graph construction. The system includes a computing device. The computing device has a processor and a storage device storing computer executable code. The computer executable code, when executed at the processor, is configured to: define entities and relations of the knowledge graph; provide documents having sentences; convert the sentences into fix length sentence embeddings and regard the sentence embeddings as primary capsule layers; use a set transformer to learn entity capsules and relation capsules from the primary capsule layers; for each triple, project head and tail entities from entity space to the specific relation space, and determine the relation exists when the sum of the projected head entity vector and the relation vector substantially equals to the projected tail entity vector; and construct the knowledge graph using the head entity, the tail entity, and the determined relation.

System and method for knowledge graph construction using capsule neural network

A system for alarm correlation and aggregation. The system includes a computing device. The computing device has a process and a storage device storing computer executable code. The computer executable code, when executed at the processor, is configured to: provide a plurality of alarms triggered by components of the system; provide aggregation patterns; perform iteratively until a criterion is met: generating itemsets from the alarms using the aggregation patterns, computing a new aggregation pattern from the generated itemsets using frequent itemset mining, and updating the aggregation pattern using the new aggregation pattern to obtain updated aggregation patterns; and aggregate the alarms using the updated aggregation patterns to obtain aggregated alarms.

System and method for alarm correlation and aggregation in IT monitoring

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Mountain View, CA, United States of America

Min Li