Open AccessProceedings Article
Temporal Diversification of Search Results
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TLDR
A novel method is developed to determine search results consisting of documents that are relevant to thequery and were published at diverse times of interest to the query.Abstract:
We investigate the notion of temporal diversity, bringing together two recently active threads of research, namely temporal ranking and diversification of search results. A novel method is developed to determine search results consisting of documents that are relevant to the query and were published at diverse times of interest to the query. Preliminary experiments on twenty years’ worth of newspaper articles from The New York Times demonstrate characteristics of our method and compare it against two baselines.read more
Citations
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Journal ArticleDOI
Survey of Temporal Information Retrieval and Related Applications
TL;DR: A survey of the existing literature on temporal information retrieval is presented, categorize the relevant research, describe the main contributions, and compare different approaches to provide a coherent view of the field.
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History by Diversity: Helping Historians search News Archives
TL;DR: A novel algorithm, HistDiv, that explicitly models the aspects and important time windows based on a historian's information seeking behavior is presented and it is found that HistDiv outperforms all competitors in subtopic recall with a slight loss in precision.
Proceedings ArticleDOI
Exploring Web Archives Through Temporal Anchor Texts
TL;DR: It is shown how temporal anchor texts can be effective in answering queries beyond purely navigational intents, like finding the most central webpages of an entity in a given time period.
Proceedings ArticleDOI
Expedition: A Time-Aware Exploratory Search System Designed for Scholars
TL;DR: For instance, Expedition as discussed by the authors is a time-aware exploratory search system that addresses the requirements and information needs of scholars by providing a suite of ad-hoc and diversity-based retrieval models to address complex information needs.
Book ChapterDOI
Leveraging Dynamic Query Subtopics for Time-Aware Search Result Diversification
Tu Ngoc Nguyen,Nattiya Kanhabua +1 more
TL;DR: This paper proposes novel time-aware diversification methods that leverage dynamic subtopics by analyzing two data sources i.e., query logs and a document collection and shows that the proposed methods can significantly improve the diversity and relevance effectiveness for time-sensitive queries in comparison with state-of-the-art methods.
References
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Proceedings ArticleDOI
Diversifying search results
TL;DR: This work proposes an algorithm that well approximates this objective in general, and is provably optimal for a natural special case, and generalizes several classical IR metrics, including NDCG, MRR, and MAP, to explicitly account for the value of diversification.
Proceedings ArticleDOI
Exploiting query reformulations for web search result diversification
TL;DR: A novel probabilistic framework for Web search result diversification, which explicitly accounts for the various aspects associated to an underspecified query, is introduced and diversify a document ranking by estimating how well a given document satisfies each uncovered aspect and the extent to which different aspects are satisfied by the ranking as a whole.
Proceedings ArticleDOI
Time-based language models
Xiaoyan Li,W. Bruce Croft +1 more
TL;DR: It is shown how time can be incorporated into both query-likelihood models and relevance models, and shows that time-based models perform as well as or better than the best of the heuristic techniques.
Journal ArticleDOI
Temporal profiles of queries
Rosie Jones,Fernando Diaz +1 more
TL;DR: The results show that meta-features associated with a query can be combined with text retrieval techniques to improve the understanding and treatment of text search on documents with timestamps.
Book ChapterDOI
A language modeling approach for temporal information needs
TL;DR: This work addresses information needs that have a temporal dimension conveyed by a temporal expression in the user’s query by integrating temporal expressions into a language modeling approach, thus making them first-class citizens of the retrieval model and considering their inherent uncertainty.