Scalable Semantic Matching of Queries to Ads in Sponsored Search Advertising
Table 6: Comparison of query cold-start methods
['[BOLD] Method', '[BOLD] Average', '[BOLD] STD']
We repeat a similar procedure for queries. Specifically, we test how well the vectors of last 50M queries in our vocabulary could be generated using vectors of 40M head queries. It should be noted that generating query content vectors is much more challenging as we have less content (i.e., text) to work with and no concept of anchor point that could help in extraction. To address this issue we proposed elastic search2vec described in Section 3.3. We evaluate 3 different sizes of query expansions when creating the inverted index: K=5, 10 and 100.