The Tactics at Salamis—A Suggestion

Toward a Systematic Understanding of Suggestion Tactics in Persuasive Technologies

The unique capabilities of mobile, context-aware, networked devices make them an interesting platform for applying suggestion in persuasive technologies. Because these devices are nearly always with their owners, can sense relevant information about the context of their use, and nearly always have network access, they enable the principle of kairos, providing the right information at the best t...

A Suggestion on Suggestion

IRIT at TREC 2012 Contextual Suggestion Track

In this paper we give an overview of the participation of the IRIT lab, University of Toulouse, France, in the TREC 2012 Contextual Suggestion Track. We present our personalized contextual retrieval framework, an approach for context processing, and two approaches for user preference processing. The official evaluations of our two submitted runs are reported and compared to the four baselines d...

PITT 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...

BJUT at TREC 2015 Contextual Suggestion Track

In this paper we described our efforts for TREC contextual suggestion task. Our goal of this year is to evaluate the effectiveness of: (1) predict user preferences of each scenic spot based on non-negtive matrix factorization, (2) automatic summarization method that leverages the information from multiple resources to generate the description for each candidate scenic spots; and (3) hybrid reco...