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Found 3 papers, 2 papers with code
Beyond Next Item Recommendation: Recommending and Evaluating List of Sequences
The proposed method considers the sequentiality of the interactions of users with items and uses them to make recommendations of a list of multi-item sequences.
Utilizing FastText for Venue Recommendation
I measure the performance of the proposed method using a Foursquare check-in dataset. The results show that the proposed method performs better than the state-of-the-art methods.
From Word Embeddings to Item Recommendation
In this work, a set of well known methods from natural language processing domain, namely Word2Vec, is applied to recommendation systems domain.
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