This study presents a review of search engines and search engine optimization and shows
how the search engine landscape relates to sustainable development. We have used a …

We observe a recent trend toward applying large language models (LLMs) in search and
positioning them as effective information access systems. While the interfaces may look …

Search engines often provide featured snippets, which are boxed and placed above other
results with the aim of directly answering user queries. To learn about how users judge the …

We introduce and quantify a relatively new form of influence: the Answer Bot Effect (ABE). In
a 2015 report in PNAS, researchers demonstrated the power that biased search results have …

Background The ability of large language models to generate general purpose natural
language represents a significant step forward in creating systems able to augment a range …

Purpose This paper aims to give an overview of the history and evolution of commercial
search engines. It traces the development of search engines from their early days to their …

This paper presents a survey on multilingual Knowledge Graph Question Answering
(mKGQA). We employ a systematic review methodology to collect and analyze the research …

The use of voice search is proliferating and expected to grow into the foreseeable future; this
is why websites increasingly optimize their content associated with voice-based search to …

Over the years search engines have become more efficient in delivering relevant pin pointed
results. For digital marketers that means more hard work because the actual metrics used to …

Recent advances in natural language processing and deep learning have accelerated the
development of digital assistants. In conversational commerce, these assistants help …