Event driven semantics based ad selection

Thawani, Amit; Gopalan, S.; Sridhar, V.

doi:10.1109/icme.2004.1394624

Cited by 8 publications

(7 citation statements)

References 6 publications

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“…The accurate measurement of the targeted advertising is systematically related to the ad selection algorithm and is highly sensitive since it combines several fields of mathematics, statistics, analytics, and optimisation etc. Some of the ad selection algorithms show ad selection based on the user data pattern [19] and the program event analysis [20], however, the contextual and targeted advertising is treated in different way as they are related to the psyche of the users. Consequently, it has been observed that the activity of users and their demographics highly influences the ad selection along with the user clicks around an ad [21], [22].…”

Section: Ads Selection Algorithmsmentioning

confidence: 99%

Privacy in targeted advertising: A survey

Ullah¹,

Boreli²,

Kanhere³

2020

Preprint

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Targeted advertising has transformed the marketing trend for any business by creating new opportunities for advertisers to reach prospective customers by delivering them personalised ads using an infrastructure of a variety of intermediary entities and technologies. The advertising and analytics companies collect, aggregate, process and trade a rich amount of user's personal data, which has prompted serious privacy concerns among individuals and organisations. This article presents a detailed survey of privacy risks including the information flow between advertising platform and ad/analytics networks, the profiling process, the advertising sources and criteria, the measurement analysis of targeted advertising based on user's interests and profiling context and ads delivery process in both in-app and in-browser targeted ads. We provide detailed discussion of challenges in preserving user privacy that includes privacy threats posed by the advertising and analytics companies, how private information is extracted and exchanged among various advertising entities, privacy threats from third-party tracking, re-identification of private information and associated privacy risks, in addition to, overview data and tracking sharing technologies. Following, we present various techniques for preserving user privacy and a comprehensive analysis of various proposals founded on those techniques and compare them based on the underlying architectures, the privacy mechanisms and the deployment scenarios. Finally we discuss some potential research challenges and open research issues.<br>

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Section: Ads Selection Algorithmsmentioning

confidence: 99%

Privacy in targeted advertising: A survey

Ullah¹,

Boreli²,

Kanhere³

2020

Preprint

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“…The described query processing system (QEAS) can be enhanced by exploiting context related information [16] and delivering content in an enhanced way by exploiting network and server characteristics [9].…”

Section: Discussionmentioning

confidence: 99%

“…We believe that the sequence templates, introduced in this paper, can play an important role in this content generation activity. In our related papers [9], [16], we have described issues related to content generation and dissemination.…”

Section: Related Workmentioning

confidence: 99%

Representation and processing of information related to real world events

Nagargadde

Sridhar

Ramamritham

2007

Knowledge-Based Systems

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Event based analysis plays an important role in reducing the latency of information delivery in an event driven world. Also, the perception of an 'event' by a user is at a higher level (a meta event), and would involve the analysis of several less complex or lower order events (basic events) in order to convey meaningful information. This is especially true of real world events and it is often necessary to completely capture the attributes of events and the relationships between them, so that the process of retrieval of event related information is efficient. In this paper, we discuss a formal system for representing and analyzing real world events to address these issues. The event representation discussed in this paper accounts for three important event attributes, namely, time, space, and label. We introduce the notion of sequence templates that appears natural for capturing event related semantics. It can also help in semantically analyzing user queries. To harness this potential, we present a formal structure to represent the queries related to real world events as well as an approach to semantically analyze a user query, and collate event related information to be dispatched to the user. Finally, we discuss the design and implementation of the Query-Event Analysis System (QEAS), which is an integrated system to (a) identify a best-matching sequence template(s) given a user query; (b) derive the meta-events based on the selected sequence templates; and (c) and use the meta-event information to answer the user query.

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“…Thawani [5] proposed a system for the selection and presentation of advertisements based on detected program events and profiles contained in the home information system. In this system, a comprehensive event prediction and event analysis is performed based on which relevant ads are either selected for transport stream insertion or for caching purposes.…”

Section: Related Workmentioning

confidence: 99%

“…= max(weight^.,weighty.) (5) Where weightvi is the weight of terrrii in current KV, weighty is the normalized weight x'^(®) of temii in text field.…”

Section: Weight-=mentioning

confidence: 99%

A Keyword Extraction Based Model for Web Advertisement

Zhou

Shao-long

IFIP International Federation for Information Processing

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Abstract. In this paper, a keyword extraction based model is proposed to deal with web advertisement. In our model, we take web advertisement as an information retrieval problem. Web page and advertisement are firstly represented with a simple data structure which will be the source file for keyword extraction based on x^-measure for single document. Later we get two vectors to make a retrieval process with a specific similarity function. This model is suitable for common cases of web advertisement. It supports the web page selection in view of advertisement as well as the advertisement selection for specific web page.

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Event driven semantics based ad selection

Cited by 8 publications

References 6 publications

Privacy in targeted advertising: A survey

Privacy in targeted advertising: A survey

Representation and processing of information related to real world events

A Keyword Extraction Based Model for Web Advertisement

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