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ACM Transactions on Information Systems (TOIS) - Special Issue on Contextual Search and Recommendation, Volume 33 Issue 1, March 2015



Section: Special Issue on Contextual Search and Recommendation

Overview of the Special Issue on Contextual Search and Recommendation
Paul N. Bennett, Kevyn Collins-Thompson, Diane Kelly, Ryen W. White, Yi Zhang
Article No.: 1e
DOI: 10.1145/2691351

User Activity Patterns During Information Search
Michael J. Cole, Chathra Hendahewa, Nicholas J. Belkin, Chirag Shah
Article No.: 1
DOI: 10.1145/2699656

Personalization of support for information seeking depends crucially on the information retrieval system's knowledge of the task that led the person to engage in information seeking. Users work during information search sessions to satisfy their...

Who, Where, When, and What: A Nonparametric Bayesian Approach to Context-aware Recommendation and Search for Twitter Users
Quan Yuan, Gao Cong, Kaiqi Zhao, Zongyang Ma, Aixin Sun
Article No.: 2
DOI: 10.1145/2699667

Micro-blogging services and location-based social networks, such as Twitter, Weibo, and Foursquare, enable users to post short messages with timestamps and geographical annotations. The rich spatial-temporal-semantic information of individuals...

Task-Based Information Interaction Evaluation: The Viewpoint of Program Theory
Kalervo Järvelin, Pertti Vakkari, Paavo Arvola, Feza Baskaya, Anni Järvelin, Jaana Kekäläinen, Heikki Keskustalo, Sanna Kumpulainen, Miamaria Saastamoinen, Reijo Savolainen, Eero Sormunen
Article No.: 3
DOI: 10.1145/2699660

Evaluation is central in research and development of information retrieval (IR). In addition to designing and implementing new retrieval mechanisms, one must also show through rigorous evaluation that they are effective. A major focus in IR is IR...

Profile-Based Summarisation for Web Site Navigation
Azhar Alhindi, Udo Kruschwitz, Chris Fox, M-Dyaa Albakour
Article No.: 4
DOI: 10.1145/2699661

Information systems that utilise contextual information have the potential of helping a user identify relevant information more quickly and more accurately than systems that work the same for all users and contexts. Contextual information comes in...