Beyond LIGER: A New Benchmark in Sequential Recommendation
In November 2024, a paper titled "Unifying Generative and Dense Retrieval for Sequential Recommendation" was released. The paper introduced a new state-of-the-art model, LIGER, improving over a previous generative recommender model, TIGER (see our blogpost comparing TIGER and BaseModel), with particularly strong gains in cold-start settings. In this