English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In this paper we address the explainability of web search engines. We proposetwo explainable elements on the search engine result page: a visualization ofquery term weights and a visualization of passage relevance. The idea is thatsearch engines that indicate to the user why results are retrieved are valuedhigher by users and gain user trust. We deduce the query term weights from theterm gating network in the Deep Relevance Matching Model (DRMM) and visualizethem as a doughnut chart. In addition, we train a passage-level ranker withDRMM that selects the most relevant passage from each document and shows it assnippet on the result page. Next to the snippet we show a document thumbnailwith this passage highlighted. We evaluate the proposed interface in an onlineuser study, asking users to judge the explainability and assessability of theinterface. We found that users judge our proposed interface significantly moreexplainable and easier to assess than a regular search engine result page.However, they are not significantly better in selecting the relevant documentsfrom the top-5. This indicates that the explainability of the search engineresult page leads to a better user experience. Thus, we conclude that theproposed explainable elements are promising as visualization for search engineusers.

Helping results assessment by adding explainable elements to the deep relevance matching model