CIRGIRDISCO at TREC 2013 Contextual Suggestion Track: Using the Wikipedia Graph Structure for Item-to-Item Recommendation
نویسندگان
چکیده
This paper describes our participation in the TREC 2013 contextual suggestion task. We fetch possible locations based on given contexts using Google Places API and WikiTravel. This is followed by a Wikipedia-based item-to-item similarity computation framework which uses the Wikipedia category-article structure to compute similarity between example locations rated by users and the suggested locations. This is then used in an item-based nearest neighbor recommendation framework to recommend the locations based on given user profile ratings.
منابع مشابه
CIRGIRDISCO at TREC 2013 Microblog Track
This paper describes our participation in the TREC 2013 Microblog real-time search task. We utilized a query expansion approach and submitted three runs: one without using any form of external evidence and the remaining two runs utilize extended abstracts of Wikipedia articles.
متن کاملYork University at TREC 2013: Contextual Suggestion Track
This paper presents our participation in the Contextual Suggestion Track of TREC 2013. The goal of this track is to investigate search techniques for complex information needs that are highly dependent on context and user interests. To achieve this goal, we propose a semantic user profile modeling for personalized place recommendation. For the semantic user profile model construction, we constr...
متن کاملPITT at TREC 2013 Contextual Suggestion Track
This paper reports the IRIS Lab@Pitt’s participation to 2013 TREC Contextual Suggestion track, which focuses on technology and issues related to location-based recommender systems (LBRSs). Besides the data provided by the track, our recommendation algorithms also retrieve information from Yelp for creating candidate, example and user profiles. Our algorithms uses linear regression model to comb...
متن کاملCWI and TU Delft Notebook TREC 2013: Contextual Suggestion, Federated Web Search, KBA, and Web Tracks
This paper provides an overview of the work done at the Centrum Wiskunde & Informatica (CWI) and Delft University of Technology (TU Delft) for different tracks of TREC 2013. We participated in the Contextual Suggestion Track, the Federated Web Search Track, the Knowledge Base Acceleration (KBA) Track, and the Web Ad-hoc Track. In the Contextual Suggestion track, we focused on filtering the enti...
متن کاملBJUT at TREC 2014 Contextual Suggestion Track: Hybrid Recommendation Based on Open-web Information
In this paper we describe our efforts for TREC contextual suggestion task. Our goal of this year is to evaluate the effectiveness of: (1) Preference crawling method that as far as possible to obtain more candidate spots’ information from open-web to model the users’ interest profiles; (2) Automatic summarization method that leverages the information from multiple resources to generate the descr...
متن کامل