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      Neural Networks for Information Retrieval

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          Abstract

          Machine learning plays a role in many aspects of modern IR systems, and deep learning is applied in all of them. The fast pace of modern-day research has given rise to many different approaches for many different IR problems. The amount of information available can be overwhelming both for junior students and for experienced researchers looking for new research topics and directions. Additionally, it is interesting to see what key insights into IR problems the new technologies are able to give us. The aim of this full-day tutorial is to give a clear overview of current tried-and-trusted neural methods in IR and how they benefit IR research. It covers key architectures, as well as the most promising future directions.

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            Short Text Similarity with Word Embeddings

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              Word Embedding based Generalized Language Model for Information Retrieval

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                Author and article information

                Journal
                2017-07-13
                Article
                1707.04242
                c6de1b01-4fc0-4637-873e-bd3ad1940115

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                Custom metadata
                Overview of full-day tutorial at SIGIR 2017
                cs.IR cs.AI cs.CL

                Theoretical computer science,Information & Library science,Artificial intelligence

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