Downloads provided by UsageCounts
Research undertaken by Cleverley and Burnett in 2018 indicated that issues around technology, content and training play an equal role in achieving enterprise search satisfaction. There are currently around 90 companies offering enterprise search solutions, most of them suggesting that their technology can solve all the issues experienced by users of enterprise search. In this presentation the impact of eight information quality factors on enterprise search satisfaction will be considered in the light of the availability of generational applications such as ChatGPT promising the optimal answer to any searching question. The presentation will conclude with a consideration of the potential role of large language models in enterprise content applications
Large Language Model, LLM, User satisfaction, Enterprise search
Large Language Model, LLM, User satisfaction, Enterprise search
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 9 | |
| downloads | 8 |

Views provided by UsageCounts
Downloads provided by UsageCounts