FutureX Solutions

In the realm of e-commerce advertising, the optimization of keyphrase recommendations is a challenge that requires a delicate balance between relevance and effectiveness for sellers and advertisers. The task of Extreme Multi-Label Classification (XMC) focuses on mapping items to multiple queries, utilizing search logs to guide the process. However, existing XMC models exhibit limitations in effectively addressing both head and tail keyphrases and struggle with biased training data derived from search logs. Numerous methods have been attempted to address these challenges , each with its own set of limitations. Open-vocabulary models often lack practical applicability, while keyphrase extraction methods struggle to guarantee alignment with actual buyer search queries. Other deployed models like fastText, Graphite, Rules Engine (RE), and Similar Listing (SL) variants offer some improvements but still fall short when it comes to comprehensive keyphrase recommendations. To combat thes...