“…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.…”
“…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.…”
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