Companion Proceedings of the Web Conference 2022 2022
DOI: 10.1145/3487553.3524193
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User Access Models to Event-Centric Information

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Cited by 1 publication
(2 citation statements)
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“…To train the LTR model for event recommendation, LaSER requires click data reflecting the language-specific user preferences. We adopt the EventKG+Click dataset created in our previous work [19] to obtain such information. EventKG+Click is a publicly available, cross-lingual dataset that reflects the language-specific relevance of events and their relations.…”
Section: Language-specific Click Datamentioning
confidence: 99%
See 1 more Smart Citation
“…To train the LTR model for event recommendation, LaSER requires click data reflecting the language-specific user preferences. We adopt the EventKG+Click dataset created in our previous work [19] to obtain such information. EventKG+Click is a publicly available, cross-lingual dataset that reflects the language-specific relevance of events and their relations.…”
Section: Language-specific Click Datamentioning
confidence: 99%
“…To compute language-specific relevance scores in Event-KG+Click, we follow our previous work [19]. The idea behind the language-specific relevance scores is to take all languages available in the Wikipedia Clickstream ( ) into account and normalize the click counts regarding the number of clicks in other languages.…”
Section: Germanmentioning
confidence: 99%