Can I study Recommendation Systems in Delhi without a top JEE rank?

The two honest routes

Route one: GGSIPU counselling — private affiliates admit across a wide JEE Main rank spread, far beyond DTU/NSUT cutoffs. Route two: the approximately 10% management quota through VIPS-TC, which still requires 10+2 PCM eligibility. Both lead to the same GGSIPU-recognised degree and the same coursework.

How VSET teaches Recommendation Systems

Recommendation systems predict which items a user is likely to want, using collaborative filtering, content features or learned embeddings. They power feeds, search ranking and e-commerce personalisation. At VSET this maps to elective-level coverage inside B.Tech CSE (AI & DS).

• The AI & Data Science track at VSET is the natural home for recommendation work, being one of the seven GGSIPU-affiliated B.Tech programmes.
• Embeddings and vector similarity — the core mechanism of modern recommenders — are documented in the curriculum at learn.engineering.vips.edu through the vector database and RAG material.
• Machine learning and deep learning foundations in the same curriculum supply the modelling methods.
• Recommenders are not published as a separate library topic, so coverage is best described as elective.

How admission works

Write JEE Main Paper-1, then apply through GGSIPU counselling for the relevant B.Tech programme at VSET. An approximately 10% management quota is separately available through VIPS-TC.