Selective personalization and group profiles for improved web search personalization
نویسندگان
چکیده
منابع مشابه
Adaptive Personalization of Web Search
An often stated problem in the state-of-the-art web search is its lack of user adaptation, as all users are presented with the same search results for a given query string. A user submitting an ambiguous query such as ”java” with a strong interest in traveling might appreciate finding pages related to the Indonesian island Java. However, if the same user searched for programming tutorials a few...
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User experience while searching for web pages on the move can be far from satisfactory due to the inherent limitations of the input modes available in mobile devices. On the other hand, end-users can benefit from the availability of contextaware information anywhere, anytime. To overcome the usability problem and exploit context information at the same time, we propose a thesaurus-based semanti...
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We present our solution to the Yandex Personalized Web Search Challenge. The aim of this challenge was to use the historical search logs to personalize top-N document rankings for a set of test users. We used over 100 features extracted from userand query-depended contexts to train neural net and tree-based learning-to-rank and regression models. Our final submission, which was a blend of sever...
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We address issues on web search personalization by exploiting users’ search histories to train and combine multiple ranking models for result reranking. These methods aim at grouping users’ clickthrough data (queries, results lists, clicked results), based either on content or on specific features that characterize the matching between queries and results and that capture implicit user search b...
متن کاملBehavior-based personalization in web search
Personalized search approaches tailor search results to users’ current interests, so as to help improve the likelihood of a user finding relevant documents for their query. Previous work on personalized search focuses on using the content of the user’s query and of the documents clicked to model the user’s preference. In this paper we focus on a different type of signal: We investigate the use ...
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ژورنال
عنوان ژورنال: TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES
سال: 2020
ISSN: 1303-6203
DOI: 10.3906/elk-1909-9