Better Contextual Suggestions in ClueWeb12 Using Domain Knowledge Inferred from The Open Web
Presented at the Text REtrieval Conference
This paper provides an overview of our participation in the Contextual Suggestion Track. The TREC 2014 Contextual Suggestion Track allowed participants to submit personalized rankings using documents either from the Open Web or from an archived, static Web collection (ClueWeb12) collection. One of the main steps in recommending attractions for a particular user in a given context is the selection of the candidate documents. This task is more challenging when relying on ClueWeb12 collection rather than public tourist APIs for finding suggestions. In this paper, we present our approach for selecting candi- date suggestions from the entire ClueWeb12 collection using the tourist domain knowledge available in the Open Web. We show that the generated recommendations to the provided user profiles and contexts improve significantly using this inferred domain knowledge.
|Information (theme 2)|
|Web Archives Retrieval Tools|
|Text REtrieval Conference|
|Organisation||Human-centered Data Analysis|
Samar, T, Bellogín Kouki, A, & de Vries, A.P. (2015). Better Contextual Suggestions in ClueWeb12 Using Domain Knowledge Inferred from The Open Web. In Proceedings of Text REtrieval Conference 2015 (TREC 23).