Recommending Bidded Terms

摘要

Systems and methods for recommending bidded terms are disclosed. The system collects a plurality of bidded terms and separates them into ad groups. The add groups are then combined into sequences of terms, which are fed into a deep learning network to build a multidimensional word vector in which related terms are nearer one another than unrelated terms. An input term is then received and the system matches the input term in the multidimensional word vector and recommends the nearest neighbors to the term.

主权项

1. A computing system for recommending terms, comprising:
a grouping module configured to receive a plurality of bidded terms, and group bidded terms within the plurality of bidded terms into term sequences; a learning module configured to receive the term sequences and embed terms contained in the plurality of bidded term sequences in a multidimensional word vector; and a term recommendation module configured to receive a term, find the nearest neighbors of the term in the multidimensional word vector, and recommend the nearest neighbors of the term.