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## Information Retrieval Journal OnlineFirst articles

23-09-2019

### ReBoost: a retrieval-boosted sequence-to-sequence model for neural response generation

Human–computer conversation is an active research topic in natural language processing. One of the representative methods to build conversation systems uses the sequence-to-sequence (Seq2seq) model through neural networks. However, with limited …

21-09-2019 | Axiomatic Thinking for Information Retrieval

### Evaluation measures for quantification: an axiomatic approach

Quantification is the task of estimating, given a set $$\sigma$$ σ of unlabelled items and a set of classes $${\mathcal {C}}=\{c_{1}, \ldots , c_{|{\mathcal {C}}|}\}$$ C = { c 1 , … , c | C | } , the prevalence (or “relative frequency”) in …

04-09-2019 | Axiomatic Thinking for Information Retrieval

### How do interval scales help us with better understanding IR evaluation measures?

Evaluation measures are the basis for quantifying the performance of IR systems and the way in which their values can be processed to perform statistical analyses depends on the scales on which these measures are defined. For example, mean and …

13-08-2019 | eCommerce Search and Recommendation

### Deep cross-platform product matching in e-commerce

Online shopping has become more and more popular in recent years, which leads to a prosperity on online platforms. Generally, the identical products are provided by many sellers on multiple platforms. Thus the comparison between products on …

08-05-2019

### Fewer topics? A million topics? Both?! On topics subsets in test collections

When evaluating IR run effectiveness using a test collection, a key question is: What search topics should be used? We explore what happens to measurement accuracy when the number of topics in a test collection is reduced, using the Million Query …