Personalization of Web Search Results Based on User Profiling
16 Jul 2008-pp 1114-1119
TL;DR: The system has been designed as an open ended one and leaves a scope for more ideas and designs to be incorporated some of which have been mentioned in the future works.
Abstract: A system for re-ordering the search results to provide to the user results of more relevance to him with the help of his profile. This concept is called Personalization. These profiles can be created by collecting explicit data (which may be input directly by a user in the form of recommendation, comment or vote) and implicit data (based on the users browsing patterns). Data can be monitored locally at the client side or at the server level or some hybrid approach can be adopted. The open recommendation system facilitates the degree to which personalization of results is needed by the user. The system design also includes measures to maintain the privacy and security of the users by encrypting their profile information to counter the threats to the same. The system has been designed as an open ended one and leaves a scope for more ideas and designs to be incorporated some of which have been mentioned in the future works.
Citations
More filters
Patent•
12 Jul 2005
TL;DR: A system and method using a user profile is provided to align the arrangement information of the search results returned by the search engine.
Abstract: A system and method using a user profile is provided to align the arrangement information of the search results returned by the search engine. The user profile is a user of a specific reaction to the documents identified by the search query, and search engine submission by users and is based on the personal information provided by users. Arrangement information is determined by a ranking score based at least in part on the similarity of the user profile information of the specific place. The user profile is a client may be generated on the client side or the server side of a server network environment, and / or storage.
15 citations
01 Sep 2013
TL;DR: This research will focus mainly on a personalisation algorithm to for cloud computing, which is a combination of the TOPSIS and Pearson correlation coefficient methods.
Abstract: Cloud computing is a new and promising paradigm for service delivery including computing resources over the internet. Cloud computing standards and architecture play an important role in benefiting governments by reducing operating costs and increasing governance effectiveness. Cloud-based e-governance contributes to managing security, reducing cost based on a pay-as-you-go method, IT labour cost reduction, and increasing scalability. Given the importance of cloud computing in the today's emerging technologies, personalisation in cloud computing is also significant in supporting users to obtain what they need without being required to request it explicitly. This research will focus mainly on a personalisation algorithm to for cloud computing. A case study in which a user can suggest the language they want to use without making an explicit request will be provided to assist further understanding of the new algorithm, which is a combination of the TOPSIS and Pearson correlation coefficient methods.
15 citations
Patent•
01 Dec 2009
TL;DR: In this article, a method, apparatus, computer program and data structure for personalized relevance calculation regarding a user interface of a device is disclosed, in which a metadata graph of interconnected items in a network relating to a user is provided.
Abstract: There is disclosed a method, apparatus, computer program and data structure for personalized relevance calculation regarding a user interface of a device: In the method a metadata graph of interconnected items in a network relating to a user is provided. The metadata graph comprises nodes representing the items; and connections between nodes representing links between the items. A relevance value is determined for a node of the metadata graph regarding a probability of the user activating said node of the metadata graph so that information of previous activations of nodes, and the connections between nodes are used when determining the relevance value.
3 citations
01 Nov 2011
TL;DR: Artificial immune system (AIS) is utilized as a successful intelligent technique to find relevant pages in the search results based on user preferences and the proposed algorithm improved accuracy in retrieval of relevant information in the Web search results.
Abstract: Since dawn of the World Wide Web, the retrieval of relevant information has been a major problem for search engines. Current Web search engines use search algorithms to generate results that are suitable for discovering relevant pages to a query, but in doing so they do not consider the user who requested the query. A personalization system helps users to find interesting documents based on their preferences. The issue in this field is low accuracy in retrieved relevant information for particular user. This article proposed a novel technique to personalize the search results. We utilize artificial immune system (AIS) as a successful intelligent technique to find relevant pages in the search results based on user preferences. According to the obtain result, the proposed algorithm based on the AIS improved accuracy in retrieval of relevant information in the Web search results.
1 citations
Patent•
17 Nov 2006
TL;DR: Search and information systems are provided that facilitate ranking of promotional material such as advertisements in view of personal information related to users who search for information from public databases.
Abstract: Search and information systems are provided that facilitate ranking of promotional material such as advertisements in view of personal information related to users who search for information from public databases. In one aspect, a search and information system is provided. The system includes a search component to locate data for a user based upon one or more words indicated by the user. A promotional component associates related information to the data, based in part on the one or more words indicated by the user. A personalization component facilitates ranking of the related information based in part on private information of the user that is isolated from the search component.
1 citations
References
More filters
08 May 2007
TL;DR: This paper describes the approach to collaborative filtering for generating personalized recommendations for users of Google News using MinHash clustering, Probabilistic Latent Semantic Indexing, and covisitation counts, and combines recommendations from different algorithms using a linear model.
Abstract: Several approaches to collaborative filtering have been studied but seldom have studies been reported for large (several millionusers and items) and dynamic (the underlying item set is continually changing) settings. In this paper we describe our approach to collaborative filtering for generating personalized recommendations for users of Google News. We generate recommendations using three approaches: collaborative filtering using MinHash clustering, Probabilistic Latent Semantic Indexing (PLSI), and covisitation counts. We combine recommendations from different algorithms using a linear model. Our approach is content agnostic and consequently domain independent, making it easily adaptable for other applications and languages with minimal effort. This paper will describe our algorithms and system setup in detail, and report results of running the recommendations engine on Google News.
1,710 citations
Book•
01 Jan 2007TL;DR: This paper presents a meta-modelling architecture for the adaptive web that automates the very labor-intensive and therefore time-heavy and expensive process of manually cataloging and cataloging content on the web.
Abstract: I. Modeling Technologies.- User Models for Adaptive Hypermedia and Adaptive Educational Systems.- User Profiles for Personalized Information Access.- Data Mining for Web Personalization.- Generic User Modeling Systems.- Web Document Modeling.- II. Adaptation Technologies.- Personalized Search on the World Wide Web.- Adaptive Focused Crawling.- Adaptive Navigation Support.- Collaborative Filtering Recommender Systems.- Content-Based Recommendation Systems.- Case-Based Recommendation.- Hybrid Web Recommender Systems.- Adaptive Content Presentation for the Web.- Adaptive 3D Web Sites.- III. Applications.- Adaptive Information for Consumers of Healthcare.- Personalization in E-Commerce Applications.- Adaptive Mobile Guides.- Adaptive News Access.- IV. Challenges.- Adaptive Support for Distributed Collaboration.- Recommendation to Groups.- Privacy-Enhanced Web Personalization.- Open Corpus Adaptive Educational Hypermedia.- Semantic Web Technologies for the Adaptive Web.- Usability Engineering for the Adaptive Web.
1,521 citations
"Personalization of Web Search Resul..." refers background in this paper
...However, only about 32% of them are willing to share their personal information in exchange for personalized results [3]....
[...]
Patent•
12 Jul 2005TL;DR: In this paper, a system and method for using a user profile to order placed content in search results returned by a search engine is presented, based on search queries submitted by a user, the user's specific interaction with the documents identified by the search engine and personal information provided by the user.
Abstract: A system and method for using a user profile to order placed content in search results returned by a search engine. The user profile is based on search queries submitted by a user, the user's specific interaction with the documents identified by the search engine and personal information provided by the user. Placed content is ranked by a score based at least in part on a similarity of a particular placed content to the user's profile. User profiles can be created and/or stored on the client side or server side of a client-server network environment.
558 citations
Patent•
14 Sep 2004
TL;DR: In this article, a system and method for creating a user profile and using the user profile to order search results returned by a search engine is presented, based on search queries submitted by a user, the user's specific interaction with the documents identified by the search engine and personal information provided by the user.
Abstract: A system and method for creating a user profile and for using the user profile to order search results returned by a search engine. The user profile is based on search queries submitted by a user, the user's specific interaction with the documents identified by the search engine and personal information provided by the user. Generic scores associated with the search results are modulated by the user profile to measure their relevance to a user's preference and interest. The search results are re-ordered accordingly so that the most relevant results appear on the top of the list. User profiles can be created and/or stored on the client side or server side of a client-server network environment. text analysis.
432 citations
Proceedings Article•
21 Aug 2003TL;DR: FMM extends existing partitioning/clustering algorithms for collaborative filtering by clustering both users and items together simultaneously without assuming that each user and item should only belong to a single cluster.
Abstract: This paper presents a flexible mixture model (FMM) for collaborative filtering. FMM extends existing partitioning/clustering algorithms for collaborative filtering by clustering both users and items together simultaneously without assuming that each user and item should only belong to a single cluster. Furthermore, with the introduction of 'preference' nodes, the proposed framework is able to explicitly model how users rate items, which can vary dramatically, even among the users with similar tastes on items. Empirical study over two datasets of movie ratings has shown that our new algorithm outperforms five other collaborative filtering algorithms substantially.
319 citations
Additional excerpts
...This is a two-stage process [8]:...
[...]