If you use gensim's word2vec, to compare the similarity of bicycle loan and return records?

1. The structure of the database table is: | cardNo | bikeID | leaseStation | returnStation | leaseDay | returnDay | leaseTime | returnTime |

2. To use word2vec to calculate the similarity of bicycle flow (that is, the similarity recorded in the database)

if you think of a sentence as all the records of a user, how do you treat each database record as a word (each record has many fields and I don"t know what to do with it)?

Nlp word2vec Deep-Learning
Sep.22,2021

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MySQL Query : SELECT * FROM `codeshelper`.`v9_news` WHERE status=99 AND catid='6' ORDER BY rand() LIMIT 5
MySQL Error : Disk full (/tmp/#sql-temptable-64f5-1b30e90-2bd68.MAI); waiting for someone to free some space... (errno: 28 "No space left on device")
MySQL Errno : 1021
Message : Disk full (/tmp/#sql-temptable-64f5-1b30e90-2bd68.MAI); waiting for someone to free some space... (errno: 28 "No space left on device")
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