Better contextual suggestions in ClueWeb12 using domain knowledge inferred from the open web

Abstract

Proceedings of the 23rd Text Retrieval Conference (TREC 2014), held in Gaithersburg, Maryland, USA, on 2014This 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 OpenWeb or from an archived, static Web collection, the ClueWeb12 dataset. In this paper, we focus on filtering the entire ClueWeb12 collection to exploit domain knowledge from touristic sites 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.This research was supported by the Netherlands Organization for Scientific Research (NWO project #640.005.001