Toward Incorporation of Relevant Documents in word2vec

Understand

Recent advances in neural word embedding provide significant benefit to various information retrieval tasks.

• However as shown by recent studies, adapting the embedding models for the needs of IR tasks can bring considerable further improvements.
• The embedding models in general define the term relatedness by exploiting the terms' co-occurrences in short-window contexts.
• An alternative (and well-studied) approach in IR for related terms to a query is using local information i.e.