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On Search Powered Navigation
Mostafa Dehghani, Glorianna Jagfeld, Hosein Azarbonyad +3
Query-based searching and browsing-based navigation are the two main components of exploratory search. Search lets users dig in deep by controlling their actions to focus on and fi…
Learning to Attend, Copy, and Generate for Session-Based Query Suggestion
Mostafa Dehghani, Sascha Rothe, Enrique Alfonseca +1
Users try to articulate their complex information needs during search sessions by reformulating their queries. To make this process more effective, search engines provide related q…
Share your Model instead of your Data: Privacy Preserving Mimic Learning for Ranking
Mostafa Dehghani, Hosein Azarbonyad, Jaap Kamps +1
Deep neural networks have become a primary tool for solving problems in many fields. They are also used for addressing information retrieval problems and show strong performance in…
Neural Ranking Models with Weak Supervision
Mostafa Dehghani, Hamed Zamani, Aliaksei Severyn +2
Despite the impressive improvements achieved by unsupervised deep neural networks in computer vision and NLP tasks, such improvements have not yet been observed in ranking for info…
Hierarchical Re-estimation of Topic Models for Measuring Topical Diversity
Hosein Azarbonyad, Mostafa Dehghani, Tom Kenter +3
A high degree of topical diversity is often considered to be an important characteristic of interesting text documents. A recent proposal for measuring topical diversity identifies…