LSApp: Large dataset of Sequential mobile App usage
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| Publication date | 21-12-2020 |
| Description |
Recent years have witnessed a rapid growth in the use of mobile devices, enabling people to access the Internet in various contexts. More than 77% of Americans now own a smartphone, with an increasing trend in terms of the time people spend on their phones. More recently, with the release of intelligent assistants such as Google Assistant, Apple Siri, and Microsoft Cortana, people are experiencing mobile search through a single voice-based interface. These systems introduce several research challenges. Given that people spend most of their times in apps and, as a consequence, most of their search interactions would be with apps (rather than a browser), one limitation is that users are unable to use a intelligent assistants to search within many apps.
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| Publisher | GitHub |
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| Document type | Dataset |
| Related publication | Context-Aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistants |
| Other links | https://github.com/aliannejadi/LSApp |
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