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Time-Based Language Models

by Xiaoyan Li, W. Bruce Croft , 2003
"... We explore the relationship between time and relevance using TREC ad-hoc queries. A type of query is identified that favors very recent documents. We propose a time-based language model approach to retrieval for these queries. We show how time can be incorporated into both query-likelihood models an ..."
Abstract - Cited by 440 (36 self) - Add to MetaCart
and relevance models. We carried out experiments to compare time-based language models to heuristic techniques for incorporating document recency in the ranking. Our results show that time-based models perform as well as or better than the best of the heuristic techniques.

Towards Recency Ranking in Web Search

by Anlei Dong, Yi Chang, Zhaohui Zheng, Gilad Mishne, Jing Bai, Ruiqiang Zhang, Karolina Buchner, Ciya Liao, Fernando Diaz
"... In web search, recency ranking refers to ranking documents by relevance which takes freshness into account. In this paper, we propose a retrieval system which automatically detects and responds to recency sensitive queries. The system detects recency sensitive queries using a high precision classifi ..."
Abstract - Cited by 41 (13 self) - Add to MetaCart
classifier. The system responds to recency sensitive queries by using a machine learned ranking model trained for such queries. We use multiple recency features to provide temporal evidence which effectively represents document recency. Furthermore, we propose several training methodologies important

Learning with Recency Bias I

by Drew Fudenberg, David K. Levine
"... We examine the long-run implication of two models of learning with recency bias: recursive weights and limited memory. We show that both models generate similar beliefs, and that both have a weighted universal consistency property. Using the limited memory model we are able to produce learning proce ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
We examine the long-run implication of two models of learning with recency bias: recursive weights and limited memory. We show that both models generate similar beliefs, and that both have a weighted universal consistency property. Using the limited memory model we are able to produce learning

Recency types for analyzing scripting languages

by Phillip Heidegger, Peter Thiemann - ECOOP 2010 Object-Oriented Programming , 2010
"... Abstract. With the current surge of scripting technologies, large programs are being built with dynamically typed languages. As these programs grow in size, semantics-based tools gain importance for detecting programming errors as well as for program understanding. As a basis for such tools, we prop ..."
Abstract - Cited by 20 (1 self) - Add to MetaCart
propose a descriptive type system for an imperative call-by-value lambda calculus with objects. The calculus models essential features of JavaScript, a widely used dynamically-typed language: first-class functions, objects as property maps, and prototypes. Our type system infers precise singleton object

A contextbased theory of recency and contiguity in free recall

by Per B. Sederberg, Marc W. Howard, Michael J. Kahana - Psychological Review , 2008
"... The authors present a new model of free recall on the basis of M. W. Howard and M. J. Kahana’s (2002a) temporal context model and M. Usher and J. L. McClelland’s (2001) leaky-accumulator decision model. In this model, contextual drift gives rise to both short-term and long-term recency effects, and ..."
Abstract - Cited by 43 (19 self) - Add to MetaCart
The authors present a new model of free recall on the basis of M. W. Howard and M. J. Kahana’s (2002a) temporal context model and M. Usher and J. L. McClelland’s (2001) leaky-accumulator decision model. In this model, contextual drift gives rise to both short-term and long-term recency effects

Effects of Context and Recency in Scaled Word Completion

by Antal Van Den Bosch, Centre For Language Studies
"... The commonly accepted method for fast and efficient word completion is storage and retrieval of character n-grams in tries. We perform learning curve experiments to measure the scaling performance of the trie approach, and present three extensions. First, we extend the trie to store characters of pr ..."
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) the initially large contribution of a recency model diminishes when the trie is trained on more background training data. 1.

Primacy/recency effects in infant categorisation

by Valentina Gliozzi , Julien Mayor , Kim Plunkett
"... Abstract We provide evidence that primacy and / or recency effects play a crucial role in infant visual categorization. First, we demonstrate that a connectionist model of infant categorization based on a self-organizing map ..."
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Abstract We provide evidence that primacy and / or recency effects play a crucial role in infant visual categorization. First, we demonstrate that a connectionist model of infant categorization based on a self-organizing map

Modeling the effects of burst packet loss and recency on subjective voice quality

by A. D. Clark, Ph. D. Fellow Iee, Member Ieee , 2001
"... This paper describes VQmon, a non-intrusive monitoring technique for Voice over IP networks that is computationally efficient and suitable for integrating or embedding into VoIP gateways or IP Phones. This uses an extended version of the ITU G.107 E-Model incorporating the effects of time varying pa ..."
Abstract - Cited by 53 (0 self) - Add to MetaCart
packet loss and “recency”. A 4 state Markov model is used to represent the time distribution of packet loss during a VoIP call. QoS, Voice over Packet, E model, subjective quality A.

Learning myopia: An adaptive recency effect in category learning

by Matt Jones, Winston R. Sieck - Journal of Experimental Psychology: Learning, Memory, & Cognition , 2003
"... Recency effects (REs) have been well established in memory and probability learning paradigms but have received little attention in category learning research. Extant categorization models predict REs to be unaffected by learning, whereas a functional interpretation of REs, suggested by results in o ..."
Abstract - Cited by 20 (9 self) - Add to MetaCart
Recency effects (REs) have been well established in memory and probability learning paradigms but have received little attention in category learning research. Extant categorization models predict REs to be unaffected by learning, whereas a functional interpretation of REs, suggested by results

Model of Co-Operation Between Recency, Familiarity and Novelty . . .

by Rafal Bogacz, Malcolm W. Brown, Christophe Giraud-carrier , 2001
"... Much evidence indicates that discrimination of the familiarity of visual stimuli is dependent on the perirhinal cortex of the temporal lobe. Within the monkey's perirhinal cortex, &25% of neurons respond strongz to thesig% of novel objects but respond only weakly or brie#y when these object ..."
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Much evidence indicates that discrimination of the familiarity of visual stimuli is dependent on the perirhinal cortex of the temporal lobe. Within the monkey's perirhinal cortex, &25% of neurons respond strongz to thesig% of novel objects but respond only weakly or brie#y when these objects are seenagnzv These neurons can be divided into three populations based on their patterns of responsiveness. Speci"c temporal dependencies existamong the activities of the three populations of neurons,sugns,z%y the existence of speci"c connections between them. This report concerns computermodelling that indicates how such connections may be used to increase reliability in the determination of whether or not a stimulus isbeing seen for the "rst time. # 2001 Published by Elsevier Science B.V. Keywords Novelty detection; Perirhinal cortex; Hippocampalregpoc Recogampal memory; Familiarity discrimination 1.IM-14 Work in amnesic patients and in monkeys has established that discrimination of ...
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