PT Unknown AU Pau Riba Anjan Dutta Josep Llados Alicia Fornes Sounak Dey TI Improving Information Retrieval in Multiwriter Scenario by Exploiting the Similarity Graph of Document Terms BT 14th International Conference on Document Analysis and Recognition PY 2017 BP 475 EP 480 DE document terms; information retrieval; affinity graph; graph of document terms; multiwriter; graph diffusion AB Information Retrieval (IR) is the activity of obtaining information resources relevant to a questioned information. It usually retrieves a set of objects ranked according to the relevancy to the needed fact. In document analysis, information retrieval receives a lot of attention in terms of symbol and word spotting. However, through decades the community mostly focused either on printed or on single writer scenario, where thestate-of-the-art results have achieved reasonable performance on the available datasets. Nevertheless, the existing algorithms do not perform accordingly on multiwriter scenario. A graph representing relations between a set of objects is a structure where each node delineates an individual element and the similarity between them is represented as a weight on the connecting edge. In this paper, we explore different analytics of graphs constructed from words or graphical symbols, such as diffusion, shortest path, etc. to improve the performance of information retrieval methods in multiwriter scenario ER