Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed to generating interaction and network asset association predictions. Recommendations for network assets in response to interactions with other network assets may be provided. Initially, a pair of items, including a seed asset and a candidate asset, is received. Each word in the seed and candidate titles, each aspect, and the categories may be embedded into a k-dimensional vector space. The embedding may then be aggregated to construct an n-dimensional vector representing a seed asset and an n-dimensional vector representing a candidate asset which are used to determine and generate a probability that the seed asset and the candidate asset are contemporaneously operated upon by the same user. The system may then rank recommendation candidates by a co-interaction probability output of the neural network system.