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How to caculate distance with the vectors?
I got the user vector and item vector with nemf(collaborative similarity embedding),which distance should I use to do ann search,inner product (dot product) or cosine distance or Euclidean distance ?
both dot product and cosine similarity are okay
@chihming Thanks for your reply. Another question, in a recommander system, can i do u2i or i2i retrieval with the vectors directly ?
yes, such vector-based retrieval is able to achieve a reasonable performance