Results 201 to 210 of about 1,807,508 (248)
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Proceedings of the 13th International Conference on Mining Software Repositories, 2016
Software project artifacts such as source code, requirements, and change logs represent a gold-mine of actionable information. As a result, software analytic solutions have been developed to mine repositories and answer questions such as "who is the expert?,'' "which classes are fault prone?,'' or even "who are the domain experts for these fault-prone ...
Jin Guo 0004 +5 more
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Software project artifacts such as source code, requirements, and change logs represent a gold-mine of actionable information. As a result, software analytic solutions have been developed to mine repositories and answer questions such as "who is the expert?,'' "which classes are fault prone?,'' or even "who are the domain experts for these fault-prone ...
Jin Guo 0004 +5 more
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2014 IEEE 17th International Conference on Computational Science and Engineering, 2014
Cold-Start is one of the most difficult problems faced by web companies today in the domain of recommendation system. Cold-Start problem refers to predicting the behavior of a new user/item having no history. Common algorithms used to predict users behavior fail at addressing the cold-start problem because the algorithms are based on the user history ...
Lebi Jean-Marc Dali, Zhiguang Qin
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Cold-Start is one of the most difficult problems faced by web companies today in the domain of recommendation system. Cold-Start problem refers to predicting the behavior of a new user/item having no history. Common algorithms used to predict users behavior fail at addressing the cold-start problem because the algorithms are based on the user history ...
Lebi Jean-Marc Dali, Zhiguang Qin
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Nursing Standard, 2008
Arriving from St Vincent to start her nurse training in 1958 was a culture shock for Shirla Philogene. But the shock was short lived.
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Arriving from St Vincent to start her nurse training in 1958 was a culture shock for Shirla Philogene. But the shock was short lived.
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SAE Technical Paper Series, 1964
<div class="htmlview paragraph">Analysis of emergency road service data from the American Automobile Association illustrates conclusively that there is a cold starting problem and that it is not confined to the extreme northern areas. It becomes apparent whenever temperature nears the freezing point, and is experienced to some extent by motorists
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<div class="htmlview paragraph">Analysis of emergency road service data from the American Automobile Association illustrates conclusively that there is a cold starting problem and that it is not confined to the extreme northern areas. It becomes apparent whenever temperature nears the freezing point, and is experienced to some extent by motorists
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Cold-Start Recommendation for On-Demand Cinemas
2020The on-demand cinemas, which has emerged in recent years, provide offline entertainment venues for individuals and small groups. Because of the limitation of network speed and storage space, it is necessary to recommend movies to cinemas, that is, to suggest cinemas to download the recommended movies in advance.
Beibei Li 0001 +5 more
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A hybrid approach for cold start recommendations
2017 11th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 2017The work presented in this paper is part of the system developed by our team for RecSys challenge 2017. XING is a social networking website that allows the recruiters to post their job openings. It also allows the interested candidates to look up these job openings and apply for the job if suits their requirements.
Madhulika Agrawal +2 more
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Computation of Cold-Start Miss Ratios
IEEE Transactions on Computers, 1978Cold-start miss ratios are miss ratios that are measured with an initially empty first-level store. The values obtained depend on C, the first-level storage capacity, and on T, the number of references. These miss ratios, measured for various values of T, are useful in evaluating the effect of task switching on cache miss ratios when the cache capacity
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On cold start for associative tag recommendation
Journal of the Association for Information Science and Technology, 2015Tag recommendation strategies that exploit term co‐occurrence patterns with tags previously assigned to the target object have consistently produced state‐of‐the‐art results. However, such techniques work only for objects with previously assigned tags.
Eder Ferreira Martins +3 more
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Warming Up to Cold Start Personalization
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2018Smart agents face abandonment if they are unable to provide value to the users from the very first interaction. Existing smart agents take time to learn about new users before they can offer them personalized services. We present a method for learning personalization information about users quickly and without placing unnecessary hardship on them.
Nikola Banovic 0001, John Krumm
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Searching to Modulate for Cold-Start Recommendation
IEEE Transactions on Pattern Analysis and Machine IntelligenceMaking personalized recommendation for cold-start users, who only have a few interaction histories, is a challenging problem in recommendation systems. Recent works leverage hypernetworks to directly map interaction histories to user-specific parameters, which are then used to modulate predictor by certain modulation structure.
Shiguang Wu 0002 +2 more
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