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Predictive auto-completion for query in search engine

Singh, Vinay; Purohit, Dheeraj Kumar; Kumar, Vimal; … - In: International journal of business information systems : … 28 (2018) 3, pp. 299-314

Persistent link: https://www.econbiz.de/10011895153

A semantics-based method for clustering of Chinese web search results

Zhang, Hui; Wang, Deqing; Wang, Li; Bi, Zhuming; Chen, Yong - In: Enterprise information systems 8 (2014) 1, pp. 147-165

Persistent link: https://www.econbiz.de/10010237630

A double metan-semantic search model based on ontology and semantic similarity : asthma disease

Belabed, Mourad; Dennai, Abdeslem - In: Journal of information & knowledge management : JIKM 22 (2023) 2, pp. 1-20

Persistent link: https://www.econbiz.de/10014388448

A comparison of retrieval result relevance judgments between american and Chinese users

Zhang, Jin; Zhao, Yuehua; Cai, Xin; Le, Taowen; Fei, Wei; … - In: Journal of global information management : an official … 28 (2020) 3, pp. 148-168

Persistent link: https://www.econbiz.de/10012304242

Google search activity data and breaking trends : Google search activity data are an unconventional survey full of unbiased, revealed answers in need of the right question

Askitas, Nikos - 2015

Using Google search activity data can help detect, in real time and at high frequency, a wide spectrum of breaking socio-economic trends around the world. This wealth of data is the result of an ongoing and ever more pervasive digitization of information. Search activity data stand in contrast...

Persistent link: https://www.econbiz.de/10011433771