Patent ID: 11907659
Assignee: BEIJING JINGDONG SHANGKE INFORMATION TECHNOLOGY CO., LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 5:
6. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor is configured to implement an item recall method, when executing the computer program,
wherein the item recall method comprises:
acquiring, by the electronic device, behavior data of a user, wherein the behavior data comprises items which are clicked and/or purchased and item information of each of the items;
inputting, by the electronic device, a retrieval category word;
extracting, by the electronic device, target behavior data containing the retrieval category word from the behavior data;
acquiring, by the electronic device, retrieval words of each of the items in the target behavior data and a retrieval frequency of each of the retrieval words in the target behavior data in a reverse correlation manner;
performing, by the electronic device, word segmentation on the item information in the target behavior data to obtain a plurality of item segmented words;
calculating, by the electronic device, a similarity between all of the retrieval words and the plurality of item segmented words;
determining, by the electronic device, whether the similarity is greater than a first preset threshold or not, and based on a result of determination that the similarity is greater than a first preset threshold, extracting, by the electronic device, a retrieval word with a retrieval frequency greater than a preset frequency as an expansion word of the retrieval category word from the all of the retrieval words; and
performing, by the electronic device, item recall according to the retrieval category word and the expansion word,
wherein before performing, by the electronic device, the item recall according to the retrieval category word and the expansion word, the item recall method further comprises:
constructing, by the electronic device, a corpus, wherein the corpus comprises an item recommendation article and item basic information;
training, by the electronic device, the corpus to obtain a word vector library based on word2vec, wherein the word vector library is configured to store a plurality of item feature words and a feature vector corresponding to each of the plurality of item feature words;
calculating, by the electronic device, a similarity between the retrieval category word and the each of the item feature words based on a similarity algorithm; and
extracting, by the electronic device, an item feature word whose similarity with the retrieval category word is greater than a second preset threshold, to be added into the expansion word.