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)?

Sep.22,2021
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